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Journal of Medicine and Pharmacy","Tạp chí Y Dược học Cần Thơ",{"EN":487,"VI":488},"\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">04\u002F10\u002F2015 Ministry of Information and Communications allowed Can Tho journal of medicine and pharmacy to operate (102 \u002FGP-BTTTT)\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">07\u002F16\u002F2015 Can Tho journal of medicine and pharmacy is internationally recognized: ISSN 2354-1210\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">In 2016, The journal has been included in the list of medical science journals by The State Council for professorship which is awarded a work score of 0-0.5 points for a published article.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Can Tho Journal of Medicine and Pharmacy welcome original works that haven’t been submitted or published in other medical journals. Posts must contain content related to one of the journal’s categories.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The content published\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The journal is divided into 3 categories:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Scientific research article: are valuable scientific works, which have been researched and accepted.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Overview of medicine, biology and pharmacy: serving the objective of continuing training in the fields of medicine, biology and pharmacy; to systematize classical and modern knowledge.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Update information on new knowledge about medicine, biology, pharmacy in the country and in the world.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Scope\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Publication and introduction of scientific research in the fields:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">+ Medicine (internal medicine, surgery, pediatrics, obstetrics and gynecology, odonto-stomatology, laboratory, oncology, traditional medicine, nursing).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">+ Biology (genetics, biotechnology).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">+ Pharmacology (pharmaceutics, drug quality analysis-control, synthetic pharmaceutical chemistry, biochemistry, pharmacognosy, botany, clinical pharmacy).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- To enhance the quality of undergraduate, postgraduate education, scientifically researching and meet the necessary treatment in hospital.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Introducing the updated domestic and oversea information about science technology to promote scientific research and exchanging technology in local, other universities.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Exchanging pharmaceutical and medical information for social health developing in the Mekong Delta and Vietnam.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The object\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Postgraduate students, student of Can Tho University of Medicine and Pharmacy, scientists from schools, research institutes, hospitals, health centers, pharmaceutical companies of the Mekong Delta; other provinces and regions in Vietnam and other country.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Address\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Headquarters of Can Tho Journal of Medicine and Pharmacy, located Scientific Research and International Cooperation Office: 179 Nguyen Van Cu Street, An Khanh Ward, Ninh Kieu District, Can Tho City, Vietnam.\u003C\u002Fspan>\u003C\u002Fp>","\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Ngày 16\u002F7\u002F2015, Tạp chí Y Dược học Cần Thơ được cấp chỉ số quốc tế: ISSN 2354-1210.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Từ tháng 4\u002F2016, Tạp chí đã được Hội đồng Giáo sư ngành Y đưa vào danh sách các tạp chí khoa học Y học được tính điểm công trình 0-0,5 điểm cho một bài báo đăng.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Năm 2020 Tạp chí Y Dược học Cần Thơ đã được phê duyệt vào danh mục của các Hội đồng Giáo sư ngành Dược học được tính điểm công trình 0-0,5 điểm cho một bài báo đăng.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ ra 12 số\u002Fnăm, 180-200 trang\u002Fsố.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Từ tháng 12\u002F2022 Tạp chí Y Dược học Cần Thơ là thành viên của hệ thống Crossref và từ tháng 01\u002F2023 tạp chí thực hiện bình duyệt online kín 2 chiều nhằm tăng tính minh bạch, tin cậy của các công trình nghiên cứu khoa học và đảm bảo tốt nhất chất lượng khoa học của bài viết.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tôn chỉ, mục đích và phạm vi của tạp chí\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tôn chỉ và mục đích hoạt động của tạp chí: xuất bản nhằm mục đích phổ biến kết quả từ các đề tài nghiên cứu khoa học; giao lưu trao đổi khoa học, chia sẻ kinh nghiệm, học tập, đồng thời cập nhật thông tin khoa học mới trong các lĩnh vực y, sinh, dược học trong và ngoài nước.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Phạm vi của tạp chí: Tạp chí xuất bản được chia thành 3 chuyên mục: (i) Bài báo nghiên cứu khoa học là kết quả công trình nghiên cứu khoa học có giá trị đã được triển khai nghiên cứu, (ii) Bài tổng quan y, sinh, dược học: phục vụ mục tiêu đào tạo liên tục trong lĩnh vực y, sinh, dược học; nhằm hệ thống hóa những kiến thức kinh điển và hiện đại; (iii) Thông tin cập nhật kiến thức mới về y, sinh, dược học trong nước và trên thế giới.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Chính sách truy cập mở\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ áp dụng chính sách truy cập mở đối với các bài báo đã xuất bản đến với độc giả, nhằm mở rộng cơ hội tiếp cận các kết quả nghiên cứu chất lượng cao và tăng cường trao đổi kiến thức. Tạp chí đăng tải trực tuyến (miễn phí) toàn văn các bài báo được công bố trên website của Tạp chí (https:\u002F\u002Ftapchi.ctump.edu.vn).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Đạo đức xuất bản\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ cam kết tuân thủ đạo đức xuất bản phù hợp với các hướng dẫn và tiêu chuẩn của the Committee on Publication Ethics (COPE), tuân thủ các nguyên tắc của COPE’s Core Practices, Best Practices Guidelines for Journal Editors và Guidelines on Good Publication Practices.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Bản thảo bài báo chỉ được chấp nhận khi được tác giả chịu trách nhiệm chính cam kết các nội dung sau: Các nội dung của bản thảo chưa được đăng tải toàn bộ hoặc một phần ở các tạp chí khác; Tất cả các tác giả đều có đóng góp một cách đáng kể vào quá trình nghiên cứu hoặc chuẩn bị bản thảo và cùng chịu trách nhiệm về các nội dung của bản thảo; Tuân thủ các biện pháp đảm bảo đạo đức nghiên cứu (ví dụ thỏa thuận đồng ý tham gia nghiên cứu).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Cam kết bảo mật\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí cam kết thực hiện và tuân thủ các quy định của luật và các văn bản hướng dẫn liên quan đến bảo mật thông tin cá nhân trên không gian mạng. Các thông tin mà người dùng (tác giả, độc giả, biên tập viên, người phản biện) nhập vào các biểu mẫu trên Hệ thống Quản lý xuất bản trực tuyến của tạp chí chỉ được sử dụng vào các mục đích đã được tuyên bố rõ ràng và sẽ không được cung cấp cho bất kỳ bên thứ ba nào khác, hay dùng vào bất kỳ mục đích nào khác.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Phí gửi bài\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Lệ phí gửi đăng bài: 1.000.000đ\u002Fbài báo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Lệ phí gửi đăng nhanh: 1.500.000đ\u002Fbài báo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Đối với tác giả là cán bộ viên chức thuộc Trường Đại học Y Dược Cần Thơ thì được hỗ trợ 50% lệ phí gửi đăng bài.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Đối với sinh viên thực hiện đề tài nghiên cứu khoa học cấp trường được hỗ trợ 100% lệ phí đăng bài ( Tác giả gửi đính kèm “ Quyết định về việc giao tổ chức thực hiện đề tài nghiên cứu khoa học cấp Trường của sinh viên”).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Hình thức nộp lệ phí:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Tiền mặt:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Nộp trực tiếp tại Phòng Tài chính - Kế toán, Trường Đại học Y Dược Cần Thơ, số 179 Nguyễn Văn Cừ, P. An Khánh, Q. Ninh Kiều, thành phố Cần Thơ.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Chuyển khoản:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tên Tài khoản: Trường ĐHYD Cần Thơ, Số TK: 0111000115668, tại ngân hàng Vietcombank chi nhánh Cần Thơ.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Thời gian: Áp dụng từ ngày 01\u002F02\u002F2023.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">* Phí gửi bài không được hoàn trả khi bài viết bị từ chối hoặc tác giả xin rút bài viết.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Quy trình phản biện bài báo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ thực hiện quy trình phản biện kín hai chiều nghiêm ngặt. Danh tính của những người phản biện không được tiết lộ cho các tác giả và ngược lại. Quy trình thẩm định bài báo đăng gồm các bước sau:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tiếp nhận bản thảo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tác giả liên hệ gửi bản thảo đến Tạp chí qua hệ thống trực tuyến tại website: https:\u002F\u002Ftapchi.ctump.edu.vn. Hướng dẫn về cách đăng ký, gửi bài và chuẩn bị bản thảo được cung cấp trên website của Tạp chí.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Sàng lọc sơ bộ\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Sau khi Tòa soạn nhận được bài báo của tác giả, Ban Thư ký sẽ tiến hành kiểm tra sơ bộ bài báo (các yêu cầu về nội dung và hình thức). Những bài báo không đúng quy cách hoặc có nội dung không phù hợp hoặc vi phạm bản quyền sẽ bị từ chối (Ban Thư ký thông báo phản hồi đến tác giả trong vòng 1 tuần). Những bài báo đủ điều kiện, được Ban Thư ký tòa soạn chuyển đến Ban Biên tập có cùng chuyên môn với nội dung bài báo để đề xuất người phản biện. Thời gian kể từ khi Ban Biên tập nhận bài báo đến khi đề xuất người phản biện bài báo chậm nhất là 5 ngày.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Vòng phản biện\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Ban Thư ký gửi bài và yêu cầu phản biện đến 02 phản biện độc lập.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Các phản biện gởi nhận xét cho Ban Thư ký. Thời gian từ khi gửi bài cho phản biện đến khi nhận ý kiến của phản biện tối đa là 20 ngày.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Xử ký kết quả phản biện\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Nếu ý kiến đồng ý cho đăng và không cần chỉnh sửa, Ban Thư ký tiếp tục đăng bài theo qui trình.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Nếu ý kiến đồng ý đăng và cần chỉnh sửa, Ban Thư ký sẽ thông tin đến tác giả chỉnh sửa theo yêu cầu của người phản biện. Thời gian chỉnh sửa và gửi lại kéo dài không quá 2 tuần, từ khi tác giả bài báo nhận được thông tin (Quá trình này có thể lặp lại tối đa 2 lần\u002F1 bài báo). Khi có sự thống nhất, đồng ý của người phản biện; bài báo được tiếp tục đăng theo qui trình.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">3. Những bài báo có chất lượng không đạt yêu cầu, cả 2 phản biện không đồng ý cho đăng sẽ bị Tòa soạn từ chối đăng.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Xuất bản\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Ban Thư ký tổng hợp các bản thảo đã được tác giả hoàn thiện sau thẩm định trình Ban Biên tập xem xét, Tổng Biên tập phê duyệt, quyết định bài đăng theo các tiêu chí: sự phù hợp nội dung với tôn chỉ và mục đích, thể loại bài viết (ưu tiên các bài có bài có nghiên cứu chuyên sâu, hàm lượng khoa học cao), đóng góp mới bài báo, bài báo được ưu tiên đăng trong số gần nhất của Tạp chí theo thứ tự: tính thời sự, chất lượng bài báo và thời gian gửi bài.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Ban Biên tập và Ban Thư ký biên tập bản thảo, chế bản, đọc rà soát lỗi. Thời gian hoàn thành từ 10-15 ngày.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">3. Ban Thư ký có trách nhiệm thông báo cho tác giả bài báo (bằng e-mail) về tình hình phê duyệt bài báo, thời gian, số kỳ, tập xuất bản bài báo theo qui định.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">4. Danh sách bài báo theo số Tạp chí được in ấn và phát hành trong năm định kỳ được công bố chính thức trên website: https:\u002F\u002Ftapchi.ctump.edu.vn\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>",{"VOID":490},"wcQ1uqwAAAAJ","2023-05-30T08:17:21.868+00:00",[],[494],{"id":495,"createTime":28,"updateTime":28,"relativeEntities":496,"slug":28,"properties":497,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":507,"parentIds":508,"statistic":28},"6413896b-eca9-442b-a73f-182a58a0ce40",[],{"title":498,"address":501,"country":504,"abbreviation":505},{"EN":499,"VI":500},"Can Tho University of Medicine and Pharmacy","Trường Đại học Y Dược Cần Thơ",{"EN":502,"VI":503},"No 179, Nguyen Van Cu street, An Khanh ward, Ninh Kieu district, Can Tho city, Vietnam","Số 179, đường Nguyễn Văn Cừ, phường An Khánh, quận Ninh Kiều, thành phố Cần Thơ, Việt Nam",{"VOID":15},{"VOID":506},"ctump","http:\u002F\u002Fwww.ctump.edu.vn\u002F",[],[],"https:\u002F\u002Ftapchi.ctump.edu.vn\u002Findex.php\u002Fctump",{"impactFactor":32,"impactFactorByYear":512,"i10Index":32,"i10IndexLast5Year":32,"totalPublication":514,"totalPublicationByYear":515,"totalCitation":520,"totalCitationByYear":521,"totalCitationPerPublication":108,"totalCitationPerPublicationByYear":523,"hindexLast5Year":45,"hindex":45},{"2022":513,"2023":111,"2024":106},0.01,1556,{"2020":47,"2021":516,"2022":517,"2023":518,"2024":519,"2025":122},57,306,801,358,161,{"2021":146,"2022":280,"2023":522},99,{"2021":524,"2022":318,"2023":104},0.23,{"impactFactor":28,"impactFactorByYear":28,"i10Index":123,"i10IndexLast5Year":123,"totalPublication":526,"totalPublicationByYear":527,"totalCitation":526,"totalCitationByYear":528,"totalCitationPerPublication":40,"totalCitationPerPublicationByYear":531,"hindexLast5Year":49,"hindex":49},476,{"0":205,"2019":123,"2021":139,"2022":459,"2023":451,"2024":357,"2025":49,"2026":48},{"2021":42,"2022":123,"2023":161,"2024":529,"2025":360,"2026":530},136,83,{"2021":105,"2022":513,"2023":532,"2024":127,"2025":533,"2026":534},0.62,25.43,13.83,{"id":536,"createTime":537,"updateTime":382,"relativeEntities":538,"slug":539,"properties":540,"entityType":25,"verifyStatus":26,"verifyTime":28,"verifyNote":28,"languages":552,"translateLanguages":28,"viewCount":133,"subjectFields":553,"manageAffiliations":554,"indexDatabases":555,"url":556,"thumbnailPath":557,"statistic":558,"gsStatistic":594,"type":55,"analyzePriority":28},"6984a56a-db70-403b-9cc4-4013e1ceaffa","2023-05-09T06:47:40.346+00:00",[],"T%E1%BA%A1p%20ch%C3%AD%20Nghi%C3%AAn%20c%E1%BB%A9u%20n%C6%B0%E1%BB%9Bc%20ngo%C3%A0i",{"country":541,"issn":542,"title":544,"introduce":547,"gsId":550},{"VOID":15},{"VOID":543},"25252445",{"EN":545,"VI":546},"VNU Journal of Foreign Studies","Tạp chí Nghiên cứu nước ngoài",{"EN":548,"VI":549},"{\"ops\":[{\"insert\":\"\\n\\nThe \\n\"},{\"attributes\":{\"italic\":true},\"insert\":\"VNU Journal of Science\"},{\"insert\":\"\\n was established in 1985 for the publication of national and international research papers in all fields of natural sciences and technology, social sciences and humanities. 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The submission of manuscripts that focus on one or more of the following topics among others – is strongly encouraged: GIS, GPS, Remote Sensing and related geospatial technologies; geospatial data acquisition and sensing; maps and spatial reasoning; spatial data infrastructures; standardization and interoperability; spatial data structures and databases; geocomputation; spatiotemporal analysis, integration and modeling; spatial data quality and uncertainty; GIS education and certification; GIS and society; location privacy; and desktop, mobile and Web-based spatially-enabled applications and services.","PENDING",[886],{"id":887,"createTime":28,"updateTime":28,"relativeEntities":888,"label":889,"description":891,"parentId":28,"standard":28,"scholarHubFieldId":28},"cd0e9c62-9445-4f11-88d8-ffaaa645b234",[],{"EN":890},"Earth and Planetary Sciences (miscellaneous)",{},[893,900],{"id":894,"createTime":28,"updateTime":28,"relativeEntities":895,"slug":28,"properties":896,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":899,"statistic":28},"05e99a76-c414-4c8f-ae6d-56ed57566774",[],{"title":897},{"EN":898},"Wiley-Blackwell Publishing Ltd",[],{"id":901,"createTime":28,"updateTime":28,"relativeEntities":902,"slug":28,"properties":903,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":906,"statistic":28},"43d4a537-d044-4372-8544-ca45c3bea38f",[],{"title":904},{"EN":905},"WILEY",[],[908,924],{"id":909,"indexDatabase":910,"url":921,"indexYears":28,"academicFieldIds":922,"indexDatabaseRanking":28},"50689f3d-1464-40f5-9b39-1f46d358df4d",{"id":911,"createTime":28,"updateTime":28,"relativeEntities":912,"label":913,"description":915,"key":918,"publicationTags":919,"standard":28},"a8273be3-1221-4f26-949d-71dc71ff1fc3",[],{"EN":914,"VI":914},"ISI-SSCI -  Social Sciences Citation Index",{"EN":916,"VI":917},"SSCI database","Cơ sở dữ liệu SSCI","ssci",[920,813],"SSCI","https:\u002F\u002Fmjl.clarivate.com\u002Fsearch-results?issn=1361-1682",[923],"2520c786-2c7d-4279-8a6a-7fcff35bd464",{"id":925,"indexDatabase":926,"url":931,"indexYears":932,"academicFieldIds":933,"indexDatabaseRanking":934},"7620b3d5-cd9e-4029-89f5-3c5fa24d5611",{"id":775,"createTime":28,"updateTime":28,"relativeEntities":927,"label":928,"description":929,"key":781,"publicationTags":930,"standard":28},[],{"EN":778,"VI":778},{"EN":778,"VI":780},[783],"https:\u002F\u002Fwww.scopus.com\u002Fsourceid\u002F13178","1996-1997,1999-2025",[787],"SCOPUS__Q1","https:\u002F\u002Fonlinelibrary.wiley.com\u002Fjournal\u002F14679671",{"meta":937,"data":939},{"total":938},"16",[940,1149,1258,1460,1732,1921,2134,2351,2542,2736],{"id":941,"createTime":942,"updateTime":942,"relativeEntities":943,"slug":944,"properties":945,"entityType":956,"verifyStatus":26,"verifyTime":957,"verifyNote":958,"languages":959,"translateLanguages":28,"viewCount":32,"primaryUrl":960,"fullTextUrl":28,"authors":961,"publicationType":1006,"publisherRelationship":1007,"citationCount":1053,"citationInfo":1054,"publishDate":1058,"publishYear":1055,"citationAnalyzeStatus":884,"lastCitationAnalyze":28,"indexDatabases":1059,"openAccess":28,"references":1060,"isForceReanalyzing":1148},"4852fecf-7053-44e3-8e0e-03491bb830f8","2024-09-18T18:20:09.779+00:00",[],"Quality-Assessment-of-the-French-OpenStreetMap-Dataset",{"openalex":946,"mag":948,"abstract":950,"title":952,"doi":954},{"VOID":947},"W1581541037",{"VOID":949},"1581541037",{"EN":951},"\u003Cjats:title>Abstract\u003C\u002Fjats:title>\u003Cjats:p>The concept of Volunteered Geographic Information (VGI) has recently emerged from the new Web 2.0 technologies. The OpenStreetMap project is currently the most significant example of a system based on VGI. It aims at producing free vector geographic databases using contributions from Internet users. Spatial data quality becomes a key consideration in this context of freely downloadable geographic databases. This article studies the quality of French OpenStreetMap data. It extends the work of Haklay to France, provides a larger set of spatial data quality element assessments (i.e. geometric, attribute, semantic and temporal accuracy, logical consistency, completeness, lineage, and usage), and uses different methods of quality control. The outcome of the study raises questions such as the heterogeneity of processes, scales of production, and the compliance to standardized and accepted specifications. In order to improve data quality, a balance has to be struck between the contributors' freedom and their respect of specifications. 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In this paper the quality of DEMs derived from the interpolation of photogrammetrically derived elevation points in Alberta, Canada, is tested. DEMs with grid cell sizes ranging from 100 to 5 m were interpolated from 100 m regularly spaced elevation points and numerous surface‐specific point elevations using the ANUDEM interpolation method. In order to identify the grid resolution that matches the information content of the source data, three approaches were applied: density analysis of point elevations, an analysis of cumulative frequency distributions using the Kolmogorov‐Smirnov test and the root mean square slope measure. Results reveal that the optimum grid cell size is between 5 and 20 m, depending on terrain com‐plexity and terrain derivative. Terrain variables based on 100 m regularly sampled elevation points are compared to an independent high‐resolution DEM used as a benchmark. Subsequent correlation analysis reveals that only elevation and local slope have a strong positive relationship while all other terrain derivatives are not represented realistically when derived from a coarse DEM. 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WWW document, http:\u002F\u002Fwww.hemisoft.com\u002Fdoc\u002Fsa_manual\u002Fsolarext.htm",{},{"id":28,"text":1380,"url":28,"identifiers":1639},{"doi":1380},{"id":28,"text":1641,"url":28,"identifiers":1642},"Gallant J C, 2000, Terrain Analysis Principles and Applications, 51",{},{"id":28,"text":1644,"url":28,"identifiers":1645},"Gessler P E, 1995, International Journal of Geographic Information Systems, 9, 421, 10.1080\u002F02693799508902047",{"doi":1646},"10.1080\u002F02693799508902047",{"id":28,"text":1648,"url":28,"identifiers":1649},"Gessler P E, 2000, Soil Science Society of America Journal, 64, 2046, 10.2136\u002Fsssaj2000.6462046x",{"doi":1650},"10.2136\u002Fsssaj2000.6462046x",{"id":28,"text":1652,"url":28,"identifiers":1653},"10.1007\u002Fs002540050302",{"doi":1652},{"id":28,"text":1655,"url":28,"identifiers":1656},"B R Godfrey, 1999, Delineation of Agroclimate Zones in Idaho . Unpublished MS Thesis , University of Idaho",{},{"id":28,"text":1658,"url":28,"identifiers":1659},"P V Gorsevski, 2002, Landslide Hazard Modeling Using GIS . Unpublished PhD Dissertation , University of Idaho",{},{"id":28,"text":1661,"url":28,"identifiers":1662},"Gorsevski P V, 2000, Proceedings of the Fourth International Conference on Integrating GIS and Environmental Modeling (GIS\u002FEM4)",{},{"id":28,"text":1664,"url":28,"identifiers":1665},"Gorsevski P V, 2001, Proceedings of the Seventh Federal Interagency Sedimentation Conference, 2, 103",{},{"id":28,"text":1667,"url":28,"identifiers":1668},"10.1007\u002Fs10109-003-0113-0",{"doi":1667},{"id":28,"text":1670,"url":28,"identifiers":1671},"Hammond C, 1992, Level I Stability Analyses (LISA) Documentation for Version 2.0",{},{"id":28,"text":1673,"url":28,"identifiers":1674},"Hosmer D W, 1989, Applied Logistic Regression",{},{"id":28,"text":1676,"url":28,"identifiers":1677},"B R Johnson, B Brodaric, G L Raines, J T Hastings, and R Wahl, 1999, Digital Geologic Map Data Model, Version 4.3a . WWW document, http:\u002F\u002Fgeology.usgs.gov\u002Fdm\u002F",{},{"id":28,"text":1679,"url":28,"identifiers":1680},"Johnson D E, 1998, Applied Multivariate Methods for Data Analysis",{},{"id":28,"text":1682,"url":28,"identifiers":1683},"Malczewski J, 1999, GIS and Multicriteria Decision Analysis",{},{"id":28,"text":1685,"url":28,"identifiers":1686},"Massari R, 1999, Transactions of the Japanese Geomorphological Union, 20, 151",{},{"id":28,"text":1688,"url":28,"identifiers":1689},"R M Mcfall, 1999, Quantifying the information value of clinical assessments with signal detection theory . WWW document, http:\u002F\u002Fwww.findarticles.com\u002Fcf_0\u002Fm0961\u002F1999_Annual\u002F54442299\u002Fprint.jhtml",{},{"id":28,"text":1691,"url":28,"identifiers":1692},"D E McClelland, R B Foltz, W D Wilson, T W Cundy, R Heinemann, J A Saurbier, and R L Schuster, 1997, Assessment of the 1995 and 1996 floods and landslides on the Clearwater National Forest: Part I, Landslide assessment . Unpublished report (to Regional Forester, Northern Region, U.S. Forest Service)",{},{"id":28,"text":1694,"url":28,"identifiers":1695},"McSweeney K, 1994, Factors of Soil Formation: A Fiftieth Anniversary Retrospective, 127",{},{"id":28,"text":1697,"url":28,"identifiers":1698},"10.1046\u002Fj.1523-1739.1995.9020279.x",{"doi":1697},{"id":28,"text":1700,"url":28,"identifiers":1701},"10.1029\u002F94WR00538",{"doi":1700},{"id":28,"text":1703,"url":28,"identifiers":1704},"10.1029\u002F93WR02979",{"doi":1703},{"id":28,"text":1706,"url":28,"identifiers":1707},"10.1002\u002F(SICI)1099-1085(199805)12:6\u003C943::AID-HYP664>3.0.CO;2-Z",{"doi":1706},{"id":28,"text":1709,"url":28,"identifiers":1710},"Moore I D, 1993, Soil Science Society of America Journal, 57, 443, 10.2136\u002Fsssaj1993.03615995005700020026x",{"doi":1711},"10.2136\u002Fsssaj1993.03615995005700020026x",{"id":28,"text":1713,"url":28,"identifiers":1714},"10.1130\u002F0091-7613(1975)3\u003C393:IOCARC>2.0.CO;2",{"doi":1713},{"id":28,"text":1716,"url":28,"identifiers":1717},"Swets J A, 1988, Science, 240, 1285, 10.1126\u002Fscience.3287615",{"doi":1718},"10.1126\u002Fscience.3287615",{"id":28,"text":1720,"url":28,"identifiers":1721},"Turner A K, 1996, Landslides: Investigation and Mitigation",{},{"id":28,"text":1723,"url":28,"identifiers":1724},"Varnes D J, 1984, Landslide Hazard Zonation: A Review of Principles and Practice",{},{"id":28,"text":1726,"url":28,"identifiers":1727},"Williams C J, 1999, Applied Stochastic Models and Data Analysis, 15, 89, 10.1002\u002F(SICI)1526-4025(199904\u002F06)15:2\u003C89::AID-ASMB366>3.0.CO;2-K",{"doi":1728},"10.1002\u002F(SICI)1526-4025(199904\u002F06)15:2\u003C89::AID-ASMB366>3.0.CO;2-K",{"id":28,"text":1730,"url":28,"identifiers":1731},"10.1029\u002F95WR01136",{"doi":1730},{"id":1733,"createTime":1734,"updateTime":1734,"relativeEntities":1735,"slug":1736,"properties":1737,"entityType":956,"verifyStatus":26,"verifyTime":1748,"verifyNote":958,"languages":1749,"translateLanguages":28,"viewCount":32,"primaryUrl":1750,"fullTextUrl":28,"authors":1751,"publicationType":1006,"publisherRelationship":1786,"citationCount":607,"citationInfo":1831,"publishDate":1834,"publishYear":1832,"citationAnalyzeStatus":884,"lastCitationAnalyze":28,"indexDatabases":1835,"openAccess":28,"references":1836,"isForceReanalyzing":1148},"6c010d42-2450-4b5d-a078-5b21165b60bf","2024-10-02T19:01:21.874+00:00",[],"Toward-Optimal-Calibration-of-the-SLEUTH-Land-Use-Change-Model",{"openalex":1738,"mag":1740,"abstract":1742,"title":1744,"doi":1746},{"VOID":1739},"W2170701747",{"VOID":1741},"2170701747",{"EN":1743},"\u003Cjats:title>Abstract\u003C\u002Fjats:title>\u003Cjats:p>SLEUTH is a computational simulation model that uses adaptive cellular automata to simulate the way cities grow and change their surrounding land uses. It has long been known that models are of most value when calibrated, and that using back‐casting (testing against known prior data) is an effective calibration method. SLEUTH's calibration uses the brute force method: every possible combination and permutation of its control parameters is tried, and the outcomes tested for their success at replicating prior data. Of the SLEUTH calibration approaches tried so far, there have been several suggested rules to follow during the brute force procedure to deal with problems of tractability, most of which leave out many of the possible parameter combinations. In this research, we instead attempt to create the complete set of possible outcomes with the goal of examining them to select the optimum from among the millions of possibilities. The self‐organizing map (SOM) was used as a data reduction method to pursue the isolation of the best parameter sets, and to indicate which of the existing 13 calibration metrics used in SLEUTH are necessary to arrive at the optimum. As a result, a new metric is proposed that will be of value in future SLEUTH applications. The new measure combines seven of the current measures, eight if land use is modeled, and is recommended as a way to make SLEUTH applications more directly comparable, and to give superior modeling and forecasting results.\u003C\u002Fjats:p>",{"EN":1745},"Toward Optimal Calibration of the SLEUTH Land Use Change Model",{"VOID":1747},"10.1111\u002Fj.1467-9671.2007.01031.x","2024-10-02T19:01:21.873+00:00",[31],"https:\u002F\u002Fonlinelibrary.wiley.com\u002Fdoi\u002F10.1111\u002Fj.1467-9671.2007.01031.x",[1752,1769],{"id":1753,"sortIndex":32,"researcher":28,"roles":1754,"affiliations":1755,"properties":1764,"displayName":1766,"givenName":28,"familyName":28},"8cc256b8-73db-4e59-a4ff-dbf9c6c7a2d9",[],[1756],{"id":1757,"sortIndex":32,"affiliation":1758,"properties":28},"29faf157-b004-453d-b2f7-90e0406cb056",{"id":1757,"createTime":28,"updateTime":28,"relativeEntities":1759,"slug":28,"properties":1760,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1763,"statistic":28},[],{"title":1761},{"EN":1762},"Department of GeographyUniversity of California – Santa Barbara",[],{"title":1765,"openalex":1767},{"EN":1766},"Charles 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M, 1977, Urban Modelling",{},{"id":28,"text":1844,"url":28,"identifiers":1845},"10.1080\u002F02693799408902013",{"doi":1844},{"id":28,"text":1847,"url":28,"identifiers":1848},"Candau J, 2000, Proceedings of the Fourth International Conference on Integrating Geographic Information Systems and Environmental Modeling: Problems, Prospects, and Needs for Research",{},{"id":28,"text":1850,"url":28,"identifiers":1851},"10.1080\u002F136588198241617",{"doi":1850},{"id":28,"text":1853,"url":28,"identifiers":1854},"10.1068\u002Fb240247",{"doi":1853},{"id":28,"text":1856,"url":28,"identifiers":1857},"Clarke K C, 2006, Classics from IJGIS: Twenty years of the International Journal of Geographical Information Science and Systems, 413",{},{"id":28,"text":1859,"url":28,"identifiers":1860},"10.1111\u002Fj.1467-9671.2004.00197.x",{"doi":1859},{"id":28,"text":1862,"url":28,"identifiers":1863},"10.1080\u002F13658810410001713407",{"doi":1862},{"id":28,"text":1865,"url":28,"identifiers":1866},"Esnard A M, 2002, Descriptive and comparative studies of 1990 urban extent data for the New York Metropolitan Region, URISA Journal, 14, 57",{},{"id":28,"text":1868,"url":28,"identifiers":1869},"Goldstein N C, 2004, GeoDynamics, 00",{},{"id":28,"text":1871,"url":28,"identifiers":1872},"10.1068\u002Fb2983",{"doi":1871},{"id":28,"text":1874,"url":28,"identifiers":1875},"KaskiS1997Data Exploration Using Self‐organizing Maps.Unpublished Ph.D. Dissertation Department of Computer Science and Engineering Helsinki Technical University",{},{"id":28,"text":1877,"url":28,"identifiers":1878},"10.1007\u002F978-3-642-97610-0",{"doi":1877},{"id":28,"text":1880,"url":28,"identifiers":1881},"10.1068\u002Fb250795",{"doi":1880},{"id":28,"text":1883,"url":28,"identifiers":1884},"10.1016\u002FS0198-9715(03)00043-7",{"doi":1883},{"id":28,"text":1886,"url":28,"identifiers":1887},"10.1080\u002F01944367308977851",{"doi":1886},{"id":28,"text":1889,"url":28,"identifiers":1890},"10.1080\u002F01944369408975549",{"doi":1889},{"id":28,"text":1892,"url":28,"identifiers":1893},"10.2307\u002F213774",{"doi":1892},{"id":28,"text":1895,"url":28,"identifiers":1896},"Pettit C, 2002, Planning Support Systems in Practice, 331",{},{"id":28,"text":1898,"url":28,"identifiers":1899},"10.1016\u002FS0198-9715(01)00014-X",{"doi":1898},{"id":28,"text":1901,"url":28,"identifiers":1902},"Simula O, 1999, Neuro‐Fuzzy Techniques for Intelligent Information Systems, 3",{},{"id":28,"text":1904,"url":28,"identifiers":1905},"10.1109\u002F38.974518",{"doi":1904},{"id":28,"text":1907,"url":28,"identifiers":1908},"Ultsch A, 2003, U‐matrix: A Tool to Visualize Clusters in High Dimensional Data.",{},{"id":28,"text":1910,"url":28,"identifiers":1911},"10.1007\u002Fs00267-002-2630-x",{"doi":1910},{"id":28,"text":1913,"url":28,"identifiers":1914},"Vesanto J, 1997, Data Mining Techniques Based on the Self‐organizing Map.",{},{"id":28,"text":1916,"url":28,"identifiers":1917},"Vesanto J, 2002, Artificial Neural Networks., 951",{},{"id":28,"text":1919,"url":28,"identifiers":1920},"10.1080\u002F1365881031000086965",{"doi":1919},{"id":1922,"createTime":1923,"updateTime":1923,"relativeEntities":1924,"slug":1925,"properties":1926,"entityType":956,"verifyStatus":26,"verifyTime":1923,"verifyNote":958,"languages":1937,"translateLanguages":28,"viewCount":32,"primaryUrl":1938,"fullTextUrl":28,"authors":1939,"publicationType":1006,"publisherRelationship":1984,"citationCount":2029,"citationInfo":2030,"publishDate":2033,"publishYear":2031,"citationAnalyzeStatus":884,"lastCitationAnalyze":28,"indexDatabases":2034,"openAccess":28,"references":2035,"isForceReanalyzing":1148},"75322b20-a1de-4ac8-9dfe-ce7fad7a53e7","2024-09-01T23:52:25.498+00:00",[],"Mapping-Large-Spatial-Flow-Data-with-Hierarchical-Clustering",{"openalex":1927,"mag":1929,"abstract":1931,"title":1933,"doi":1935},{"VOID":1928},"W2107505299",{"VOID":1930},"2107505299",{"EN":1932},"\u003Cjats:title>Abstract\u003C\u002Fjats:title>\u003Cjats:p>It is challenging to map large spatial flow data due to the problem of occlusion and cluttered display, where hundreds of thousands of flows overlap and intersect each other. Existing flow mapping approaches often aggregate flows using predetermined high‐level geographic units (e.g. states) or bundling partial flow lines that are close in space, both of which cause a significant loss or distortion of information and may miss major patterns. In this research, we developed a flow clustering method that extracts clusters of similar flows to avoid the cluttering problem, reveal abstracted flow patterns, and meanwhile preserves data resolution as much as possible. Specifically, our method extends the traditional hierarchical clustering method to aggregate and map large flow data. The new method considers both origins and destinations in determining the similarity of two flows, which ensures that a flow cluster represents flows from similar origins to similar destinations and thus minimizes information loss during aggregation. With the spatial index and search algorithm, the new method is scalable to large flow data sets. As a hierarchical method, it generalizes flows to different hierarchical levels and has the potential to support multi‐resolution flow mapping. Different distance definitions can be incorporated to adapt to uneven spatial distribution of flows and detect flow clusters of different densities. To assess the quality and fidelity of flow clusters and flow maps, we carry out a case study to analyze a data set of 243,850 taxi trips within an urban area.\u003C\u002Fjats:p>",{"EN":1934},"Mapping Large Spatial Flow Data with Hierarchical Clustering",{"VOID":1936},"10.1111\u002Ftgis.12100",[31],"https:\u002F\u002Fonlinelibrary.wiley.com\u002Fdoi\u002F10.1111\u002Ftgis.12100",[1940,1967],{"id":1941,"sortIndex":32,"researcher":28,"roles":1942,"affiliations":1943,"properties":1960,"displayName":1964,"givenName":28,"familyName":28},"3dea0ac4-19bf-40c9-9b5b-8ad5cca8402a",[],[1944,1952],{"id":1945,"sortIndex":32,"affiliation":1946,"properties":28},"cf8e649e-d611-492f-b12c-7af2fb59189d",{"id":1945,"createTime":28,"updateTime":28,"relativeEntities":1947,"slug":28,"properties":1948,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1951,"statistic":28},[],{"title":1949},{"EN":1950},"Department of Geography; University of South Carolina",[],{"id":1953,"sortIndex":40,"affiliation":1954,"properties":28},"ddb40d92-e0de-45b6-9e3e-a916c0faa906",{"id":1953,"createTime":28,"updateTime":28,"relativeEntities":1955,"slug":28,"properties":1956,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1959,"statistic":28},[],{"title":1957},{"EN":1958},"School of Hydropower and Information Engineering; Huazhong University of Science and Technology",[],{"orcid":1961,"title":1963,"openalex":1965},{"VOID":1962},"https:\u002F\u002Forcid.org\u002F0000-0001-6941-0786",{"EN":1964},"Xi Zhu",{"VOID":1966},"A5076210591",{"id":1968,"sortIndex":40,"researcher":28,"roles":1969,"affiliations":1970,"properties":1977,"displayName":1981,"givenName":28,"familyName":28},"64077569-258c-49c7-85a8-2f1caa19467b",[],[1971],{"id":1945,"sortIndex":32,"affiliation":1972,"properties":28},{"id":1945,"createTime":28,"updateTime":28,"relativeEntities":1973,"slug":28,"properties":1974,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1976,"statistic":28},[],{"title":1975},{"EN":1950},[],{"orcid":1978,"title":1980,"openalex":1982},{"VOID":1979},"https:\u002F\u002Forcid.org\u002F0000-0003-3483-4153",{"EN":1981},"Diansheng Guo",{"VOID":1983},"A5003854328",{"url":28,"publisher":1985,"properties":2023},{"id":868,"createTime":869,"updateTime":870,"relativeEntities":1986,"slug":872,"properties":1987,"entityType":25,"verifyStatus":884,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":32,"subjectFields":1992,"manageAffiliations":1997,"indexDatabases":2008,"url":935,"thumbnailPath":28,"statistic":28,"gsStatistic":28,"type":28,"analyzePriority":28},[],{"country":1988,"eissn":1989,"issn":1990,"title":1991},{"VOID":875},{"VOID":877},{"VOID":879},{"EN":881},[1993],{"id":887,"createTime":28,"updateTime":28,"relativeEntities":1994,"label":1995,"description":1996,"parentId":28,"standard":28,"scholarHubFieldId":28},[],{"EN":890},{},[1998,2003],{"id":894,"createTime":28,"updateTime":28,"relativeEntities":1999,"slug":28,"properties":2000,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":2002,"statistic":28},[],{"title":2001},{"EN":898},[],{"id":901,"createTime":28,"updateTime":28,"relativeEntities":2004,"slug":28,"properties":2005,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":2007,"statistic":28},[],{"title":2006},{"EN":905},[],[2009,2016],{"id":909,"indexDatabase":2010,"url":921,"indexYears":28,"academicFieldIds":2015,"indexDatabaseRanking":28},{"id":911,"createTime":28,"updateTime":28,"relativeEntities":2011,"label":2012,"description":2013,"key":918,"publicationTags":2014,"standard":28},[],{"EN":914,"VI":914},{"EN":916,"VI":917},[920,813],[923],{"id":925,"indexDatabase":2017,"url":931,"indexYears":932,"academicFieldIds":2022,"indexDatabaseRanking":934},{"id":775,"createTime":28,"updateTime":28,"relativeEntities":2018,"label":2019,"description":2020,"key":781,"publicationTags":2021,"standard":28},[],{"EN":778,"VI":778},{"EN":778,"VI":780},[783],[787],{"issue":2024,"pages":2025,"volume":2027},{"VOID":1247},{"VOID":2026},"421-435",{"VOID":2028},"18",115,{"total":2029,"publishYear":2031,"statisticByYear":2032},2014,{"2014":123,"2015":48,"2016":48,"2017":205,"2018":199,"2019":130,"2020":47,"2021":323,"2022":126,"2023":47,"2024":49},"2014-06-01",[920,934],[2036,2040,2043,2046,2049,2052,2055,2058,2061,2064,2067,2070,2073,2076,2079,2082,2085,2088,2091,2094,2097,2100,2103,2106,2109,2112,2115,2118,2121,2124,2128,2131],{"id":28,"text":2037,"url":28,"identifiers":2038},"AgrawalR GehrkeJ GunopulosD andRaghavanP1998Automatic subspace clustering of high dimensional data for data mining applications. InProceedings of the ACM SIGMOD Conference on Management of Data Seattle Washington:94–105",{"doi":2039},"10.1145\u002F276305.276314",{"id":28,"text":2041,"url":28,"identifiers":2042},"10.1179\u002F000870409X12525737905042",{"doi":2041},{"id":28,"text":2044,"url":28,"identifiers":2045},"10.1109\u002FTVCG.2010.44",{"doi":2044},{"id":28,"text":2047,"url":28,"identifiers":2048},"10.1111\u002Fj.1435-5957.2008.00164.x",{"doi":2047},{"id":28,"text":2050,"url":28,"identifiers":2051},"10.1109\u002FTVCG.2008.135",{"doi":2050},{"id":28,"text":2053,"url":28,"identifiers":2054},"EsterM KriegelH‐P SanderJ andXuX1996A density‐based algorithm for discovering clusters in large spatial databases with noise. InProceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD‐96) Portland Oregon 226–231",{},{"id":28,"text":2056,"url":28,"identifiers":2057},"10.2307\u002F621372",{"doi":2056},{"id":28,"text":2059,"url":28,"identifiers":2060},"Groff E, 2006, Exploring the Spatial Configuration of Places Related to Homicide Events",{},{"id":28,"text":2062,"url":28,"identifiers":2063},"10.1145\u002F276305.276312",{"doi":2062},{"id":28,"text":2065,"url":28,"identifiers":2066},"10.1080\u002F13658810701349037",{"doi":2065},{"id":28,"text":2068,"url":28,"identifiers":2069},"10.1109\u002FTVCG.2009.143",{"doi":2068},{"id":28,"text":2071,"url":28,"identifiers":2072},"10.1109\u002FTVCG.2006.84",{"doi":2071},{"id":28,"text":2074,"url":28,"identifiers":2075},"10.1023\u002FA:1025101015202",{"doi":2074},{"id":28,"text":2077,"url":28,"identifiers":2078},"10.1111\u002Fj.1467-9671.2012.01344.x",{"doi":2077},{"id":28,"text":2080,"url":28,"identifiers":2081},"Han J, 2000, Data Mining: Concepts and Techniques",{},{"id":28,"text":2083,"url":28,"identifiers":2084},"10.4324\u002F9780203468029_chapter_8",{"doi":2083},{"id":28,"text":2086,"url":28,"identifiers":2087},"10.1111\u002Fj.1467-8659.2009.01450.x",{"doi":2086},{"id":28,"text":2089,"url":28,"identifiers":2090},"10.1145\u002F331499.331504",{"doi":2089},{"id":28,"text":2092,"url":28,"identifiers":2093},"10.1109\u002FT-C.1973.223640",{"doi":2092},{"id":28,"text":2095,"url":28,"identifiers":2096},"10.1007\u002Fs10109-008-0069-1",{"doi":2095},{"id":28,"text":2098,"url":28,"identifiers":2099},"NgR TandHanJ1994Efficient and effective clustering methods for spatial data mining. InProceedings of the Twentieth International Conference on Very Large Databases Santiago Chile",{},{"id":28,"text":2101,"url":28,"identifiers":2102},"Openshaw S, 1983, The Modifiable Areal Unit Problem",{},{"id":28,"text":2104,"url":28,"identifiers":2105},"PhanD XiaoL YehR HanrahanP andTerryW2005Flow map layout. InProceedings of the IEEE Symposium on Information Visualization (InfoVis 2005) Minneapolis Minnesota",{},{"id":28,"text":2107,"url":28,"identifiers":2108},"10.1057\u002Fpalgrave.ivs.9500183",{"doi":2107},{"id":28,"text":2110,"url":28,"identifiers":2111},"10.1111\u002Fj.1538-4632.1981.tb00711.x",{"doi":2110},{"id":28,"text":2113,"url":28,"identifiers":2114},"10.1559\u002F152304087783875273",{"doi":2113},{"id":28,"text":2116,"url":28,"identifiers":2117},"10.1111\u002Fj.1435-5597.1960.tb01712.x",{"doi":2116},{"id":28,"text":2119,"url":28,"identifiers":2120},"10.1109\u002FTVCG.2011.202",{"doi":2119},{"id":28,"text":2122,"url":28,"identifiers":2123},"10.1179\u002F000870410X12658023467367",{"doi":2122},{"id":28,"text":2125,"url":28,"identifiers":2126},"Yan J, 2008, Self‐Organizing Maps: Applications in Geographic Information Science, 67, 10.1002\u002F9780470021699.ch4",{"doi":2127},"10.1002\u002F9780470021699.ch4",{"id":28,"text":2129,"url":28,"identifiers":2130},"10.1068\u002Fb34019",{"doi":2129},{"id":28,"text":2132,"url":28,"identifiers":2133},"10.1145\u002F235968.233324",{"doi":2132},{"id":2135,"createTime":2136,"updateTime":2136,"relativeEntities":2137,"slug":2138,"properties":2139,"entityType":956,"verifyStatus":26,"verifyTime":2136,"verifyNote":958,"languages":2150,"translateLanguages":28,"viewCount":32,"primaryUrl":2151,"fullTextUrl":28,"authors":2152,"publicationType":1006,"publisherRelationship":2191,"citationCount":158,"citationInfo":2237,"publishDate":2240,"publishYear":2238,"citationAnalyzeStatus":884,"lastCitationAnalyze":28,"indexDatabases":2241,"openAccess":28,"references":2242,"isForceReanalyzing":1148},"29cdbcaf-3c3a-4c20-aeba-98d6669d610f","2024-09-18T00:17:31.172+00:00",[],"A-Characteristic-Hull-Based-Method-for-Home-Range-Estimation",{"openalex":2140,"mag":2142,"abstract":2144,"title":2146,"doi":2148},{"VOID":2141},"W1880411448",{"VOID":2143},"1880411448",{"EN":2145},"\u003Cjats:title>Abstract\u003C\u002Fjats:title>\u003Cjats:p>Recent literature has reported inaccuracies associated with some popular home range estimators such as kernel density estimation, especially when applied to point patterns of complex shapes. This study explores the use of characteristic hull polygons (CHPs) as a new method of home range estimation. CHPs are special bounding polygons created in GIS that can have concave edges, be composed of disjoint regions, and contain areas of unoccupied space within their interiors. CHPs are created by constructing the Delaunay triangulation of a set of points and then removing a subset of the resulting triangles. Here, CHPs consisting of 95% of the smallest triangles, measured in terms of perimeter, are applied for home range estimation. First, CHPs are applied to simulated animal locational data conforming to five point pattern shapes at three sample sizes. Then, the method is applied to black‐footed albatross (\u003Cjats:italic>Phoebastria nigripes\u003C\u002Fjats:italic>) locational data for illustration and comparison to other methods. For the simulated data, 95% CHPs produced unbiased home range estimates in terms of size for linear and disjoint point patterns and slight underestimates (8–20%) for perforated, concave, and convex ones. The estimated and known home ranges intersected one another by 72–96%, depending on shape and sample size, suggesting that the method has potential as a home range estimator. Additionally, the CHPs applied to estimate albatross home ranges illustrate how the method produces reasonable estimates for bird species that intensively forage in disjoint habitat patches.\u003C\u002Fjats:p>",{"EN":2147},"A Characteristic‐Hull Based Method for Home Range Estimation",{"VOID":2149},"10.1111\u002Fj.1467-9671.2009.01177.x",[31],"https:\u002F\u002Fonlinelibrary.wiley.com\u002Fdoi\u002F10.1111\u002Fj.1467-9671.2009.01177.x",[2153,2172],{"id":2154,"sortIndex":32,"researcher":28,"roles":2155,"affiliations":2156,"properties":2165,"displayName":2169,"givenName":28,"familyName":28},"827043e8-a6da-4180-9df4-21fac6ac2c35",[],[2157],{"id":2158,"sortIndex":32,"affiliation":2159,"properties":28},"e972fd5d-8569-4afe-824d-2fbf9571a6e1",{"id":2158,"createTime":28,"updateTime":28,"relativeEntities":2160,"slug":28,"properties":2161,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":2164,"statistic":28},[],{"title":2162},{"EN":2163},"Department of Geography University of South Florida",[],{"orcid":2166,"title":2168,"openalex":2170},{"VOID":2167},"https:\u002F\u002Forcid.org\u002F0000-0001-7226-2411",{"EN":2169},"Joni Downs",{"VOID":2171},"A5051016938",{"id":2173,"sortIndex":40,"researcher":28,"roles":2174,"affiliations":2175,"properties":2184,"displayName":2188,"givenName":28,"familyName":28},"667ff044-b62b-491d-a29c-90556de3e81a",[],[2176],{"id":2177,"sortIndex":32,"affiliation":2178,"properties":28},"10da935a-ac23-4f64-b5fc-9ce93ff053a4",{"id":2177,"createTime":28,"updateTime":28,"relativeEntities":2179,"slug":28,"properties":2180,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":2183,"statistic":28},[],{"title":2181},{"EN":2182},"Department of Geography Florida State University",[],{"orcid":2185,"title":2187,"openalex":2189},{"VOID":2186},"https:\u002F\u002Forcid.org\u002F0009-0009-9747-7430",{"EN":2188},"Mark W. Horner",{"VOID":2190},"A5056717187",{"url":28,"publisher":2192,"properties":2230},{"id":868,"createTime":869,"updateTime":870,"relativeEntities":2193,"slug":872,"properties":2194,"entityType":25,"verifyStatus":884,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":32,"subjectFields":2199,"manageAffiliations":2204,"indexDatabases":2215,"url":935,"thumbnailPath":28,"statistic":28,"gsStatistic":28,"type":28,"analyzePriority":28},[],{"country":2195,"eissn":2196,"issn":2197,"title":2198},{"VOID":875},{"VOID":877},{"VOID":879},{"EN":881},[2200],{"id":887,"createTime":28,"updateTime":28,"relativeEntities":2201,"label":2202,"description":2203,"parentId":28,"standard":28,"scholarHubFieldId":28},[],{"EN":890},{},[2205,2210],{"id":894,"createTime":28,"updateTime":28,"relativeEntities":2206,"slug":28,"properties":2207,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":2209,"statistic":28},[],{"title":2208},{"EN":898},[],{"id":901,"createTime":28,"updateTime":28,"relativeEntities":2211,"slug":28,"properties":2212,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":2214,"statistic":28},[],{"title":2213},{"EN":905},[],[2216,2223],{"id":909,"indexDatabase":2217,"url":921,"indexYears":28,"academicFieldIds":2222,"indexDatabaseRanking":28},{"id":911,"createTime":28,"updateTime":28,"relativeEntities":2218,"label":2219,"description":2220,"key":918,"publicationTags":2221,"standard":28},[],{"EN":914,"VI":914},{"EN":916,"VI":917},[920,813],[923],{"id":925,"indexDatabase":2224,"url":931,"indexYears":932,"academicFieldIds":2229,"indexDatabaseRanking":934},{"id":775,"createTime":28,"updateTime":28,"relativeEntities":2225,"label":2226,"description":2227,"key":781,"publicationTags":2228,"standard":28},[],{"EN":778,"VI":778},{"EN":778,"VI":780},[783],[787],{"issue":2231,"pages":2233,"volume":2235},{"VOID":2232},"5-6",{"VOID":2234},"527-537",{"VOID":2236},"13",{"total":158,"publishYear":2238,"statisticByYear":2239},2009,{"2012":48,"2013":46,"2014":46,"2015":46,"2016":46,"2017":46,"2018":48,"2019":123,"2020":48,"2021":48,"2022":49,"2023":123,"2024":40},"2009-10-01",[920,934],[2243,2246,2249,2252,2255,2258,2261,2264,2267,2270,2273,2276,2279,2282,2285,2288,2291,2294,2297,2300,2303,2306,2309,2312,2315,2318,2321,2324,2327,2330,2333,2336,2339,2342,2345,2348],{"id":28,"text":2244,"url":28,"identifiers":2245},"Bailey T C, 1995, Interactive Spatial Data Analysis",{},{"id":28,"text":2247,"url":28,"identifiers":2248},"10.1111\u002Fj.1365-2656.2004.00906.x",{"doi":2247},{"id":28,"text":2250,"url":28,"identifiers":2251},"10.2193\u002F0022-541X(2006)70[422:COHRUP]2.0.CO;2",{"doi":2250},{"id":28,"text":2253,"url":28,"identifiers":2254},"10.1890\u002F0012-9615(2001)071[0469:LHREOS]2.0.CO;2",{"doi":2253},{"id":28,"text":2256,"url":28,"identifiers":2257},"10.1016\u002F0098-3004(95)00020-9",{"doi":2256},{"id":28,"text":2259,"url":28,"identifiers":2260},"10.1080\u002F136588199241175",{"doi":2259},{"id":28,"text":2262,"url":28,"identifiers":2263},"10.1109\u002FISVD.2007.31",{"doi":2262},{"id":28,"text":2265,"url":28,"identifiers":2266},"Downs J A, 2008, Effects of point pattern shape on home range estimates, Journal of Wildlife Management, 71, 1113",{},{"id":28,"text":2268,"url":28,"identifiers":2269},"10.1016\u002Fj.patcog.2008.03.023",{"doi":2268},{"id":28,"text":2271,"url":28,"identifiers":2272},"10.1017\u002FS0952836901000899",{"doi":2271},{"id":28,"text":2274,"url":28,"identifiers":2275},"10.2193\u002F2006-370",{"doi":2274},{"id":28,"text":2277,"url":28,"identifiers":2278},"10.1016\u002Fj.foreco.2006.03.007",{"doi":2277},{"id":28,"text":2280,"url":28,"identifiers":2281},"Galton A, 2006, GIScience 2006, 81",{},{"id":28,"text":2283,"url":28,"identifiers":2284},"10.1111\u002Fj.0906-7590.2004.03835.x",{"doi":2283},{"id":28,"text":2286,"url":28,"identifiers":2287},"10.2307\u002F3802962",{"doi":2286},{"id":28,"text":2289,"url":28,"identifiers":2290},"Gitzen R A, 2003, Comparison of least‐squares cross‐validation bandwidth options for kernel home‐range estimation, Wildlife Society Bulletin, 31, 823",{},{"id":28,"text":2292,"url":28,"identifiers":2293},"10.2193\u002F0022-541X(2006)70[1334:BSFFAO]2.0.CO;2",{"doi":2292},{"id":28,"text":2295,"url":28,"identifiers":2296},"10.1111\u002Fj.1365-2656.2005.00944.x",{"doi":2295},{"id":28,"text":2298,"url":28,"identifiers":2299},"10.2193\u002F0022-541X(2006)70[641:LCVLSC]2.0.CO;2",{"doi":2298},{"id":28,"text":2301,"url":28,"identifiers":2302},"10.1007\u002F978-1-4615-7826-0",{"doi":2301},{"id":28,"text":2304,"url":28,"identifiers":2305},"10.1016\u002FB978-012497781-5\u002F50006-2",{"doi":2304},{"id":28,"text":2307,"url":28,"identifiers":2308},"10.2193\u002F2005-589",{"doi":2307},{"id":28,"text":2310,"url":28,"identifiers":2311},"10.2193\u002F0091-7648(2004)32[148:COTATT]2.0.CO;2",{"doi":2310},{"id":28,"text":2313,"url":28,"identifiers":2314},"10.1016\u002Fj.ecolmodel.2008.05.001",{"doi":2313},{"id":28,"text":2316,"url":28,"identifiers":2317},"10.2307\u002F2421652",{"doi":2316},{"id":28,"text":2319,"url":28,"identifiers":2320},"10.1080\u002F13658810802475491",{"doi":2319},{"id":28,"text":2322,"url":28,"identifiers":2323},"10.1080\u002F13658810500399159",{"doi":2322},{"id":28,"text":2325,"url":28,"identifiers":2326},"Rodgers A R, 2005, HRT: Home Range Tools for ArcGIS",{},{"id":28,"text":2328,"url":28,"identifiers":2329},"10.1643\u002F0045-8511(2006)6[797:KANAEO]2.0.CO;2",{"doi":2328},{"id":28,"text":2331,"url":28,"identifiers":2332},"10.2193\u002F0091-7648(2006)34[1446:TTRPOG]2.0.CO;2",{"doi":2331},{"id":28,"text":2334,"url":28,"identifiers":2335},"10.2307\u002F2265701",{"doi":2334},{"id":28,"text":2337,"url":28,"identifiers":2338},"10.1111\u002F1467-9671.00102",{"doi":2337},{"id":28,"text":2340,"url":28,"identifiers":2341},"10.1007\u002F978-1-4899-3324-9",{"doi":2340},{"id":28,"text":2343,"url":28,"identifiers":2344},"White G C, 1990, Analysis of Wildlife Radio‐tracking Data",{},{"id":28,"text":2346,"url":28,"identifiers":2347},"10.1016\u002F0304-3800(87)90101-3",{"doi":2346},{"id":28,"text":2349,"url":28,"identifiers":2350},"10.2307\u002F2533254",{"doi":2349},{"id":2352,"createTime":2353,"updateTime":2353,"relativeEntities":2354,"slug":2355,"properties":2356,"entityType":956,"verifyStatus":26,"verifyTime":2353,"verifyNote":958,"languages":2366,"translateLanguages":28,"viewCount":32,"primaryUrl":2367,"fullTextUrl":28,"authors":2368,"publicationType":1006,"publisherRelationship":2398,"citationCount":567,"citationInfo":2442,"publishDate":2444,"publishYear":1344,"citationAnalyzeStatus":884,"lastCitationAnalyze":28,"indexDatabases":2445,"openAccess":28,"references":2446,"isForceReanalyzing":1148},"7d5bc556-247c-4aaf-8c19-e48043735aee","2024-10-02T19:01:12.664+00:00",[],"Spatial-Differences-in-Multi-Resolution-Urban-Automata-Modeling",{"openalex":2357,"mag":2359,"abstract":2361,"title":2363,"doi":2365},{"VOID":2358},"W2083666892",{"VOID":2360},"2083666892",{"EN":2362},"\u003Cjats:title>Abstract\u003C\u002Fjats:title>\u003Cjats:p>The last decade has seen a renaissance in spatial modeling. Increased computational power and the greater availability of spatial data have aided in the creation of new modeling techniques for studying and predicting the growth of cities and urban areas. Cellular automata is one modeling technique that has become widely used and cited in the literature; yet there are still some very basic questions that need to be answered with regards to the use of these models, specifically relating to the spatial resolution during calibration and how it can impact model forecasts. Using the SLEUTH urban growth model (\u003Cjats:ext-link xmlns:xlink=\"http:\u002F\u002Fwww.w3.org\u002F1999\u002Fxlink\" xlink:href=\"#b9\">Clarke et al. 1997\u003C\u002Fjats:ext-link>), urban growth for San Joaquin County (CA) is projected using three different spatial grains, based on four calibration routines, and the spatial differences between the model outputs are examined. Model outputs show that calibration at finer scaled data results in different parameter sets, and forecasting of urban growth in areas that was not captured through the use of more coarse data.\u003C\u002Fjats:p>",{"EN":2364},"Spatial Differences in Multi‐Resolution Urban Automata Modeling",{"VOID":1859},[31],"https:\u002F\u002Fonlinelibrary.wiley.com\u002Fdoi\u002F10.1111\u002Fj.1467-9671.2004.00197.x",[2369,2384],{"id":2370,"sortIndex":32,"researcher":28,"roles":2371,"affiliations":2372,"properties":2381,"displayName":1766,"givenName":28,"familyName":28},"371401e9-e984-4245-89e6-f59fa31c6b63",[],[2373],{"id":2374,"sortIndex":32,"affiliation":2375,"properties":28},"42b51a3f-ca06-49d1-9ad3-e85eb340ea13",{"id":2374,"createTime":28,"updateTime":28,"relativeEntities":2376,"slug":28,"properties":2377,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":2380,"statistic":28},[],{"title":2378},{"EN":2379},"Department of Geography University of California-Santa Barbara",[],{"title":2382,"openalex":2383},{"EN":1766},{"VOID":1768},{"id":2385,"sortIndex":40,"researcher":28,"roles":2386,"affiliations":2387,"properties":2394,"displayName":1783,"givenName":28,"familyName":28},"d578cff9-1efd-4157-ba77-7f4fd47f48ed",[],[2388],{"id":2374,"sortIndex":32,"affiliation":2389,"properties":28},{"id":2374,"createTime":28,"updateTime":28,"relativeEntities":2390,"slug":28,"properties":2391,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":2393,"statistic":28},[],{"title":2392},{"EN":2379},[],{"orcid":2395,"title":2396,"openalex":2397},{"VOID":1781},{"EN":1783},{"VOID":1785},{"url":28,"publisher":2399,"properties":2437},{"id":868,"createTime":869,"updateTime":870,"relativeEntities":2400,"slug":872,"properties":2401,"entityType":25,"verifyStatus":884,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":32,"subjectFields":2406,"manageAffiliations":2411,"indexDatabases":2422,"url":935,"thumbnailPath":28,"statistic":28,"gsStatistic":28,"type":28,"analyzePriority":28},[],{"country":2402,"eissn":2403,"issn":2404,"title":2405},{"VOID":875},{"VOID":877},{"VOID":879},{"EN":881},[2407],{"id":887,"createTime":28,"updateTime":28,"relativeEntities":2408,"label":2409,"description":2410,"parentId":28,"standard":28,"scholarHubFieldId":28},[],{"EN":890},{},[2412,2417],{"id":894,"createTime":28,"updateTime":28,"relativeEntities":2413,"slug":28,"properties":2414,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":2416,"statistic":28},[],{"title":2415},{"EN":898},[],{"id":901,"createTime":28,"updateTime":28,"relativeEntities":2418,"slug":28,"properties":2419,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":2421,"statistic":28},[],{"title":2420},{"EN":905},[],[2423,2430],{"id":909,"indexDatabase":2424,"url":921,"indexYears":28,"academicFieldIds":2429,"indexDatabaseRanking":28},{"id":911,"createTime":28,"updateTime":28,"relativeEntities":2425,"label":2426,"description":2427,"key":918,"publicationTags":2428,"standard":28},[],{"EN":914,"VI":914},{"EN":916,"VI":917},[920,813],[923],{"id":925,"indexDatabase":2431,"url":931,"indexYears":932,"academicFieldIds":2436,"indexDatabaseRanking":934},{"id":775,"createTime":28,"updateTime":28,"relativeEntities":2432,"label":2433,"description":2434,"key":781,"publicationTags":2435,"standard":28},[],{"EN":778,"VI":778},{"EN":778,"VI":780},[783],[787],{"issue":2438,"pages":2439,"volume":2441},{"VOID":1048},{"VOID":2440},"479-492",{"VOID":1341},{"total":567,"publishYear":1344,"statisticByYear":2443},{"2012":123,"2013":40,"2014":123,"2015":49,"2016":46,"2017":123,"2018":45,"2019":46,"2020":45,"2021":40,"2022":123,"2024":123},"2004-10-01",[920,934],[2447,2450,2452,2454,2457,2460,2463,2466,2468,2470,2473,2476,2479,2482,2485,2487,2490,2493,2495,2498,2500,2502,2504,2507,2509,2511,2514,2517,2520,2523,2526,2528,2531,2534,2537,2540],{"id":28,"text":2448,"url":28,"identifiers":2449},"Agarwal C, 2000, A Review and Assessment of Land‐use Change Models: Dynamics of Space, Time, and Human Choice",{},{"id":28,"text":1841,"url":28,"identifiers":2451},{},{"id":28,"text":1844,"url":28,"identifiers":2453},{"doi":1844},{"id":28,"text":2455,"url":28,"identifiers":2456},"10.1016\u002FS0198-9715(99)00015-0",{"doi":2455},{"id":28,"text":2458,"url":28,"identifiers":2459},"Brail R K, 2001, Planning Support Systems: Integrating Geographic Information Systems, Models, and Visualization Tools",{},{"id":28,"text":2461,"url":28,"identifiers":2462},"CA‐FMMP2003California Farmland Mapping and Monitoring Program. 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Cincinnati OH U.S. Environmental Protection Agency Office of Research and Development Report No EPA\u002F600\u002FR‐00\u002F098(available athttp:\u002F\u002Fwww.epa.gov\u002Fecommunity\u002Ftools\u002Freportfinal3.pdf)",{},{"id":28,"text":2524,"url":28,"identifiers":2525},"U.S. Geological Survey2003.Preliminary Assessment of Urban Growth in California's Central Valley. 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When users perceive geographic objects as one spatial unit, although they are physically separated into multiple parts, appropriate methods are needed to assess the consistency among the aggregate and the parts. The critical aspect is that the overall spatial relationships with respect to other geographic objects must be preserved throughout the aggregation process. We developed a systematic model for the constraints that must hold with respect to other spatial objects when two parts of an object are aggregated. We found three sets of configurations that require increasingly more information in order to make a precise statement about their consistency: (1) configurations that are satisfied by the topological relations between the two parts and the object of interest; (2) configurations that need further information about the topological relation between the object of concern and the connector in order to be resolved unambiguously; and (3) configurations that require additional information about the topological relation between the aggregate's boundary and the boundary or interior of the object of interest to be uniquely described. The formalism extends immediately to relations between two regions with disconnected parts as well as to relations between a region and an arbitrary number of separations.\u003C\u002Fjats:p>",{"EN":2555},"Consistency among parts and aggregates: A computational model",{"VOID":2557},"10.1111\u002Fj.1467-9671.1996.tb00044.x",[31],"https:\u002F\u002Fonlinelibrary.wiley.com\u002Fdoi\u002F10.1111\u002Fj.1467-9671.1996.tb00044.x",[2561,2578],{"id":2562,"sortIndex":32,"researcher":28,"roles":2563,"affiliations":2564,"properties":2573,"displayName":2575,"givenName":28,"familyName":28},"09d15945-3546-460a-9ae2-edeab6e03d87",[],[2565],{"id":2566,"sortIndex":32,"affiliation":2567,"properties":28},"367d1515-de8a-400a-9d05-2b56acf8e585",{"id":2566,"createTime":28,"updateTime":28,"relativeEntities":2568,"slug":28,"properties":2569,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":2572,"statistic":28},[],{"title":2570},{"EN":2571},"National Center for Geographic Information and Analysis, Boardman Hall, University of Maine, Orono, Maine 04469–5711, USA. e-mail: nectaria@spatial.maine.edu",[],{"title":2574,"openalex":2576},{"EN":2575},"Nectaria Tryfona",{"VOID":2577},"A5047485947",{"id":2579,"sortIndex":40,"researcher":28,"roles":2580,"affiliations":2581,"properties":2590,"displayName":2592,"givenName":28,"familyName":28},"a5150b20-2141-4528-8b5c-5d4aa383df09",[],[2582],{"id":2583,"sortIndex":32,"affiliation":2584,"properties":28},"01e69840-8311-4f3b-a9e3-fd7e00d16988",{"id":2583,"createTime":28,"updateTime":28,"relativeEntities":2585,"slug":28,"properties":2586,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":2589,"statistic":28},[],{"title":2587},{"EN":2588},"National Center for Geographic Information and Analysis, Department of Spatial Information Science and Engineering, and Department of Computer Science, Boardman Hall, University of Maine, Orono, Maine 04469–5711, USA. e‐mail: max@spatial.maine.edu",[],{"title":2591,"openalex":2593},{"EN":2592},"Max J. 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