Spatial Information Research
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Estimation of glacial retreat and mass loss in Baspa basin, Western Himalaya
Spatial Information Research - Tập 24 - Trang 257-266 - 2016
Glaciers are one of the valuable natural resources in Indian Himalaya. A large
number of people depend on glacier melt for social and industrial activities.
Therefore, monitoring the glacial changes becomes crucial. In the present study,
retreat and mass balance of 19 glaciers in Baspa basin were analysed. An overall
de-glaciation of 24 % (41.1 ± 8.37 km2) was observed between 1962 and 2014. Mass
...
Decoding spatial precipitation patterns using artificial intelligence
Spatial Information Research - - Trang 1-12 - 2023
The primary objective of this research is to examine the spatio-temporal
variations in precipitation within the Indian Monsoon region (IMR), with a
particular focus on regional relationships. This investigation utilizes rainfall
data collected from rain gauge stations for the year 2020, a year marked by
extreme weather events such as floods in Assam and Mumbai, Cyclone Amphan, and
multiple cloud-b...
Exploring correlations between hyper-spectral signatures acquired in the laboratory and in-situ observation for heavy metal concentrations in soil
Spatial Information Research - Tập 26 Số 5 - Trang 497-505 - 2018
Social vulnerability and COVID-19 in Maringá, Brazil
Spatial Information Research - Tập 31 - Trang 51-59 - 2022
This research explores the relationship between COVID-19 and social
vulnerability on an intra-urban scale. For this, two composite indicators of
social vulnerability have been constructed. The composite indicator constructed
by the Benefit-of-the-Doubt considers spatial heterogeneity. It weakly captures
the conceptually most significant individual indicator of social vulnerability
(R=-0.39), as it...
Delineation of hydrocarbon potential zones in Masila oil field, Yemen
Spatial Information Research - Tập 27 - Trang 121-135 - 2018
Hydrocarbon is a powerful contributor to development. The present study makes an
attempt to use remote sensing data coupled with geophysical and geological data
that has been integrated into Arc GIS to delineate favorable zones for
hydrocarbon potential in the Masila oil field. Lineaments have been extracted
using satellite data and geological data by their surface spectral signatures,
whereas the...
The impact of micro urban space structure on land price of commercial real estate
Spatial Information Research - Tập 25 - Trang 181-194 - 2017
This study analyzed the micro urban space structure by considering the complex
use situation inside the building and the impact on land price of commercial
real estate by considering the multi-layered properties of land price formation
factors. The significance of the study is as follows: First, more precise and
micro urban space structure was built by taking into account the complex use of
buildi...
Geospatial modelling of COVID-19 vaccination coverage inequalities: evidence from 192 countries
Spatial Information Research - Tập 31 - Trang 653-667 - 2023
Geospatial modelling is a useful analytical tool for efficient characterization
of inequalities in COVID-19 vaccination coverage for effective management
control of the pandemic, which is limited in the literature on a global scale.
This study investigated the spatial distribution of disparities in COVID-19
vaccine coverage indicators, namely, total vaccination rate (TVR), population
proportion wi...
Disease risk map of anthracnose-twister of onion based on previous disease locations as a future predictors
Spatial Information Research - Tập 27 - Trang 259-265 - 2018
Understanding the disease epidemiology of anthracnose-twister disease provide us
with information about the spread of disease in different areas with different
climates which necessitates site specific disease predictions, management and
spread of infection to other areas. Anthracnose-twister disease is caused by
Colletotrichum gloeosporioides and Gibberella moniliformis and is considered to
be th...
Information value based landslide susceptibility zonation of Dharamshala region, northwestern Himalaya, India
Spatial Information Research - Tập 27 - Trang 553-564 - 2019
This study investigates the application of statistical information value method
(In V) for landslide susceptibility zonation of Dharamshala region, Kangra
valley of Himachal Pradesh, India. The study area witnesses a number of
landslides due to the prevailing factors such as slope angle, aspect, lithology,
soil type, land use pattern, drainage density, and fault density. A landslide
inventory map ...
Exploring the potential of spatial artificial neural network in estimating topsoil salinity changes of in arid lands
Spatial Information Research - Tập 30 - Trang 551-562 - 2022
Soil salinity is one of the most important environmental issues, especially in
arid and semi-arid regions, due to the influence of various parameters such as
climate variables. Nowadays, the use of computational intelligence systems has
expanded as a new strategy for soil studies based on satellite imagery. The
purpose of this study is comparison of performance and efficiency of two
multivariate r...
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