Phân tích không-thời gian về thành phần công nghiệp với IVIID: một giao diện phân tích trực quan tương tác cho sự đa dạng công nghiệp

Alwang J, Siegel PB (1994) Portfolio models and planning for export diversification: Malawi, Tanzania, and Zimbabwe. J Dev Stud 30(2):405–422 Anselin L (1995) Local indicators of spatial association–LISA. Geogr Anal 27(2):93–115 Anselin L (2003a) An introduction to spatial regression analysis in R. University of Illinois, Urbana-Champaign Anselin L (2003b) An introduction to EDA with GeoDa. Spatial Analysis Laboratory, Department of Agricultural and Consumer Economics, UIUC Anselin L (2012) Space-time mapping. Spatial Autocorrelation, Chicago Anselin L, Bao S (1997) Exploratory spatial data analysis linking SpaceStat and ArcView. Recent developments in spatial analysis—spatial statistics, behavioural modelling and computational intelligence pp 35–59 Anselin L, Dodson R, Hudak S (1993) Linking GIS and spatial data analysis in practice. Geogr Syst 1:3–23 Anselin L, Syabri I, Kho Y (2006) GeoDa: an introduction to spatial data analysis. Geogr Anal 38(1):5–22 Attaran M, Zwick M (1987) Entropy and other measures of industrial diversification. Q J Bus Econ 26(4):17–34 Bernat GA Jr, Repice ES (2000) Industrial composition of state earnings in 1958–1998. Surv Curr Bus 80(2):70 Bivand R (2002) Spatial econometrics functions in R: classes and methods. J Geogr Syst 4:405–421. doi:10.1007/s101090300096 Bivand R, Gebhardt A (2000) Implementing functions for spatial statistical analysis using the R language. J Geogr Syst 2:307–317 Block R, Block C (1995) Space, place and crime: hot spot areas and hot places of liquor-related crime. Crime Place 4(2):145–184 Bode E, Rey SJ (2006) The spatial dimension of economic growth and convergence. J Reg Sci 85(2):171–176 Brewer CA (2005) Designing better maps: a guide for GIS users. ESRI Press, California Conroy M (1975) The concept and measurement of regional industrial diversification. South Econ J pp 492–505 Dissart J (2003) Regional economic diversity and regional economic stability: research results and agenda. Int Reg Sci Rev 26:423–446 Drucker J (2011) Regional industrial structure concentration in the United States: trends and implications. Econ Geogr 87(4):421–452 Drucker J, Feser E (2012) Regional industrial structure and agglomeration economies: an analysis of productivity in three manufacturing industries. Reg Sci Urban Econ 42(1-2):1–14 Duque J, Dev B, Betancourt A, Franco J (2011) ClusterPy: library of spatially constrained clustering algorithms. Version 0.9.9. RiSE-group (Research in Spatial Economics). EAFIT University. Duranton G, Overman H (2008) Exploring the detailed location patterns of UK manufacturing industries using microgeographic data. J Reg Sci 48(1):213–243 Dykes J (1995) Pushing maps past their established limits: a unified approach to cartographic visualization. Innov GIS 3:177–87 Dykes J (1998) Cartographic visualization: exploratory spatial data analysis with local indicators of spatial association using TcI/Tk and cdv. J Roy Stat Soc Ser D (The Statistician) 47(3):485–497 Ellison G, Glaeser EL (1997) Geographic concentration in U.S. manufacturing industries: a Dartboard approach. J Polit Econ 105(5):889–927 Ellison G, Glaeser EL, Kerr W (2010) What causes industry agglomeration? Evidence from co-agglomeration patterns. Am Econ Rev 100:1195–1213 Everett B (1974) Cluster analysis. Heinemann Educational Books Ltd, London Gahegan M, Takatsuka M, Wheeler M, Hardisty F (2000) Abstract GeoVISTA Studio: a geocomputational workbench. In: The Proceedings of the 5th international conference on GeoComputation Geary R (1954) The contiguity ratio and statistical mapping. Inc Stat 5(3):115–146 Getis A, Ord JK (1992) The analysis of spatial association by use of distance statistics. Geogr Anal 24(3):189–206 Gomez-Rubio V, Ferrandiz J, Lopez A (2003) Detecting clusters of diseases with R. J Geogr Syst 7:189–206 Guo D, Chen J, MacEachren AM, Liao K (2006) A visualization system for space-time and multivariate patterns (VIS-STAMP). IEEE Trans Vis Comput Graph 12(6):1461–1474 Hägerstrand T (1970) What about people in regional science?. Papers Reg Sci 24(1):6–21 Haining R, Wise S, Ma J (2000) Designing and implementing software for spatial statistical analysis in a GIS environment. J Geogr Syst 2:257–286 Harvey J (1991) Modelling accessibility using space-time prism concepts within geographical information systems. Int J Geogr Inf Syst 5(3):287–301 Haslett J, Wills G, Unwin A (1990) SPIDER–interactive statistical tool for the analysis of spatially distributed data. Int J Geogr Inf Syst 4(3):285–296 Isard W, Azis IJ, Drennan MP, Miller RE, Saltzman S, Thorbecke E (1998) Methods of interregional and regional analysis. Ashgate, Aldershot Jackson RW (1984) An evaluation of alternative measures of regional industrial diversification. Reg Stud 18(2):103–112 Janikas MV, Rey SJ (2005) Spatial clustering, inequality and income convergence. Reg Dev 21:45–64 Knox E, Bartlett M (1964) The detection of space-time interactions. J Roy Stat Soc Ser C (Appl Stat) 13(1):25–30 Kulldorff M (1997) A spatial scan statistic. Commun Stat Theory Methods 26(6):1481–1496 Kulldorff M, Rand K, Gherman G, Williams G, DeFrancesco D (1998) SaTScan v 2.1: software for the spatial and space-time scan statistics. National Cancer Institute, Bethesda Kulldorff M, Heffernan R, Hartman J, Assunção R, Mostashari F (2005) A space–time permutation scan statistic for disease outbreak detection. PLoS Med 2(3):e59 Kwan M (1998) Space-time and integral measures of individual accessibility: a comparative analysis using a point-based framework. Geogr Anal 30(3):191–216 Kwan M (1999) Gender and individual access to urban opportunities: a study using space–time measures. Prof Geogr 51(2):211–227 LeSage J, Pace R (2004) Arc_mat, a toolbox for using arcview shape files for spatial econometrics and statistics. In: Egenhofer M, Freksa C, Miller H (eds) Geographic information science, lecture notes in computer science, vol 3234. Springer, Berlin pp 179–190. doi:10.1007/978-3-540-30231-5_12 Levine N (1999) CrimeStat: a spatial statistics program for the analysis of crime incident locations. In: The IV international conference on GeoComputation, Fredericksburg Levine N (2006) Crime mapping and the Crimestat program. Geogr Anal 38(1):41–56 Levine N (2010) CrimeStat: a spatial statistics program for the analysis of crime incident locations(V 3.3). National Institute of Justice, Washington Liu X, LeSage J (2010) Arc_mat: a matlab-based spatial data analysis toolbox. J Geogr Syst 12(1):69–87 López FA, Matilla-García M, Mur J, Marín MR (2011) Four tests of independence in spatiotemporal data. J Reg Sci 90(3):663–685 MacEachren A, Wachowicz M, Edsall R, Haug D, Masters R (1999) Constructing knowledge from multivariate spatiotemporal data: integrating geographical visualization with knowledge discovery in database methods. Int J Geogr Inf Sci 13(4):311–334 Maciejewski R, Pattah A, Ko S, Hafen R, Cleveland WS, Ebert DS (2013) Automated box-cox transformations for improved visual encoding. IEEE Trans Vis Comput Graph 19(1):130–140 Mack E, Grubesic TH, Kessler E (2007a) Indices of industrial diversity and regional economic composition. Growth Change 38(3):474–509 Mack E, Grubesic TH, Kessler E (2007b) Indices of industrial diversity and regional economic composition. Growth Change 38:474–509 Mantel N (1967) The detection of disease clustering and a generalized regression approach. Cancer Res 27(2 Part 1):209–220 Marcon E, Puech F (2010) Measures of the geographic concentration of industries: improving distance-based methods. J Econ Geogr 10(5):745–762 Markowitz H (1959) Portfolio selection: efficient diversification of investments. Wiley, New York McBratney A, Gruijter J (2006) A continuum approach to soil classification by modified fuzzy k-means with extragrades. J Soil Sci 43(1):159–175 McIntosh J, Yuan M (2005) A framework to enhance semantic flexibility for analysis of distributed phenomena. Int J Geogr Inf Sci 19(10):999–1018 Moran P (1948) The interpretation of statistical maps. J Roy Stat Soc Ser B (Methodol) 10(2):243–251 Openshaw S (1994) Two exploratory space-time-attribute pattern analysers relevant to GIS. Spatial Anal GIS pp 83–104 Peuquet D (1994) It’s about time: A conceptual framework for the representation of temporal dynamics in geographic information systems. Ann Assoc Am Geogr 84(3):441–461 Peuquet D (2001) Making space for time: issues in space-time data representation. GeoInformatica 5(1):11–32 Peuquet D, Duan N (1995) An event-based spatiotemporal data model (ESTDM) for temporal analysis of geographical data. Int J Geogr Inf Syst 9(1):7–24 Rey S (1998) Technician needs assessment survey. Technical representative, San Diego Regional Economic Development Corporation Rey S (2000) Identifying regional industrial clusters in the california economy: volume I conceptual design. Technical representative California Employment Development Department, Sacramento Rey SJ, Janikas MV (2006) STARS: space–time analysis of regional systems. Geogr Anal 38(1):67–86 Robertson C, Nelson T, Boots B, Wulder M (2007) STAMP: spatial–temporal analysis of moving polygons. J Geogr Syst 9(3):207–227 Robinson AC (2011) Highlighting in geovisualization. Cartogr Geogr Inf Scis 38(4):373–383 Rundensteiner EA, Ward MO, Xie Z, Cui Q, Wad CV, Yang D, Huang S (2007) XmdvtoolQ: : quality-aware interactive data exploration. In: SIGMOD conference, pp 1109–1112 Sadahiro Y, Umemura M (2001) A computational approach for the analysis of changes in polygon distributions. J Geogr Syst 3(2):137–154 Sharpe WF (1970) Portfolio theory and capital markets. McGraw-Hill, New York Siegel PB, Johnson TG, Alwang J (1993) Diversification of production agriculture across individual states: comment. J Prod Agric 6(3):445–446 Siegel PB, Alwang J, Johnson TG (1995a) A structural decomposition of regional economic instability: a conceptual framework*. J Reg Sci 35(3):457–470 Siegel PB, Johnson TG, Alwang J (1995b) Regional economic diversity and diversification. Growth Change 26(2):261–284 Swayne DF, Cook D, Buja A (1991) Xgobi: interactive dynamic graphics. In: The X window system with a link To S Symanzik J, Majure J, Cook D (1996) Dynamic graphics in a GIS: a bidirectional link between ArcView 2.0 and XGobi. Comput Sci Stat 27:299–303 Symanzik J, Kötter T, Schmelzer S, Klinke S, Cook D, Swayne DF (1997) Spatial data analysis in the dynamically linked ArcView/XGobi/XploRe environment. Comput Sci Stat 29:561–569 Symanzik J, Cook D, Lewin-Koh N, Majure JJ, Megretskaia I (2000) Linking ArcViewTM and XGobi: insight behind the front end. J Comput Graph Stat 9(3):470–490 Takasuka M, Gahegan M (2001) Sharing exploratory geospatial analysis and decision making using GeoVISTA studio: from a desktop to the web. J Geogr Inf Decis Anal 5:129–139 Takatsuka M, Gahegan M (2002) GeoVISTA studio: a codeless visual programming environment for geoscientific data analysis and visualization. Comput Geosci 28:1131–1144 Tan PN, Steinbach M, Kumar V (2006) Introduction to data mining. Addison-Wesley, Reading Unwin A, Wills G, Haslett J (1990) REGARD—graphical analysis of regional data. In: Proceedings of the section on statistical graphics, American Statistical Association, Alexandria, pp 36–41 US Census Bureau (2012) ACS demographic and housing estimates 2007–2011. American Community Survey 5-year Estimates. http://factfinder2.census.gov/faces/tableservices/jsf/pages/productview.xhtml?pid=ACS_11_5YR_DP05&prodType=table US Department of Commerce (2012) County Business Patterns (CBP). http://www.census.gov/econ/cbp/ Wagner J (2000) Regional economic diversity: action, concept, or state of confusion. J Reg Anal Policy 30:1–22 Wagner JE, Deller S (1998) Measuring the effects of economic diversity on growth and stability. Land Econ 74(4):541–556 Ward MO (1994) XmdvTool: integrating multiple methods for visualizing multivariate data. In: Proceedings of the conference on visualization ’94, IEEE Computer Society Press, Los Alamitos, pp 326–333 Weaver C (2004) Building highly-coordinated visualizations in improvise. In: Proceedings of the IEEE symposium on information visualization, IEEE Computer Society, Washington, pp 159–166 Weaver CE (2006) Improvise: a user interface for interactive construction of highly-coordinated visualizations. PhD thesis, University of Wisconsin at Madison, Madison Wills G, Unwin AR, Haslett J (1991) Spatial interactive graphics applied to Irish socioeconomic data. In: Proceedings of the ASA statistical graphics section, American Statistical Association, Atlanta, pp 37–41 Wise S, Haining R, Ma J (1997) Regionalization tools for exploratory spatial analysis of health data. Recent developments in spatial analysis: spatial statistics, behavioural modelling, and computational intelligence pp 83–100 Wise S, Haining R, Ma J (2001) Providing spatial statistical data analysis functionality for the GIS user: the SAGE project. Int J Geogr Inf Sci 15(3):239–254 Wundt B, Martin L (1993) Minimizing employment instability: a model of industrial expansion with input-output considerations. Reg Sci Perspect 23(1):81–93 Ye X, Carroll MC (2011) Exploratory space-time analysis of local economic development. Appl Geogr 31(3):1049–1058 Ye X, Rey S (2011) A framework for exploratory space-time analysis of economic data. Ann Reg Sci pp 1–25