Vulnerable population to COVID-19 according to the prevalence of non-communicable diseases in Cienfuegos by Alder León Brito

“…<br /><strong>Methods:</strong> descriptive, cross-sectional study, of a geographic-epidemiological nature, in the Cienfuegos province. The weighting of thematic maps of distribution of patients with prevalence of noncommunicable diseases was applied, in age groups from 25 to 59 and 60 years and over, using multi-criteria evaluation techniques in geographic information systems. …”
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GIS and remote sensing based analysis for monitoring urban growth dynamics in Western Himalayan city of Dharamshala, India by Nishant Mehra, Janaki Ballav Swain

“…Maximum Likelihood Classification was performed on three Landsat 8 OLI images for 2016, 2019, and 2022 to prepare LULC thematic maps. The geographical and topographical complexities of the region necessitated the use of spectral vegetation indices, ancillary data, and the Strahler order algorithm to accurately represent LULC classes in the form of post-classification correction measures. …”
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An Easy-to-Use Method for Assessing Nitrate Contamination Susceptibility in Groundwater by Daniela Ducci

“…This research presents a methodology for assessing nitrate contamination susceptibility in groundwater using thematic maps, derived mainly from the land use map and from statistical data available at national/regional institutes of statistics (especially demographic and environmental data). …”
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Evaluation of Object-Based and Pixel-Based Technique for Extracting Snow Cover Surface Using Landsat 8 Satellite Images (Case Study Damavand Mountain Range) by Behnam Sedaghat, Ali Javadzade khiavi, Babak Naeim, Erfan Khajavi, Amir Reza Taghavi Khanghah

“…The SAM classification method, a pixel-based technique, and object-oriented classification methods, along with NDSI, NDVI, and LST algorithms, were utilized to process the images. Thematic maps were derived from each classification, and their overall accuracy was evaluated in the post-processing stage. …”
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Assessment of groundwater potential zones using geospatial techniques in Mangalore Taluk, Dakshina Kannada District, Karnataka, India by Eka Putri Elsa, Hamidi Masyhuri, M Shet Suraj, S A Swapna

“…Satellite imageries are used for preparing various thematic maps, viz. slope, drainage density, lineament, land use/cover, soil, rainfall, geology and geomorphology map, which were transformed to raster class data using the feature to raster converter tool in ArcGIS. …”
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LAND SUITABILITY ASSESSMENT FOR SOYBEAN (GLYCINE MAX) IN BARDAGHAT MUNICIPALITY USING GIS TECHNIQUES by Birendra Tiwar, Amrit Dumre, Mahesh Jaishi

“…The research employed a comprehensive methodology, combining Pair-wise Comparison Matrix (PWCM) and Weighted Multi-Criteria Analysis via Analytical Hierarchy Process (AHP) to consider various biophysical criteria. Thematic maps were generated using Remote Sensing, Geostatistics, and Geographic Information Systems (GIS). …”
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LAND SUITABILITY ANALAYSIS OF SESAME CROP USING GIS TECHNIQUES by Ramesh Kumar Ghimire, Anuj Dhakal, Amir Pandit, Pragyan Ghimire, Sagar Pokharel

“…The research utilized a comprehensive methodology, blending Pair- wise Comparison Matrix (PWCM) and Weighted Multi-Criteria Analysis with diverse biophysical criteria through Analytical Hierarchy Process (AHP). Thematic maps were generated using Remote Sensing, Geostatistics, and Geographic Information Systems. …”
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Tree mapping and carbon inventory on a university campus in South Korea: Case study and global review by Songhee Lee, Woo Bin Park, Seungmin Lee, Jeong‐Min Lee, Yowhan Son, Tae Kyung Yoon

“…A total of 2341 individual trees belonging to 73 species were surveyed over 28.7 ha of green spaces on campus, and various thematic maps were created online. In 2021, the aboveground carbon storage was 263.9 Mg C, and it increased annually by 5.62 Mg C. …”
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Mapping livestock systems, bovine and caprine diseases in Mayo-Kebbi Ouest Province, Chad by Kella Douzouné, Joseph Oloukoi, Ismaila Toko Imorou, Toure Gorgui Ba, Derrick Chefor Ymele Demeveng

“…The analysis involved descriptive and inferential statistical techniques including binary logistic regression resulting in maps illustrating disease hotspots and livestock systems. Thematic maps, tables and charts with a 5% significance threshold visualised risk areas and associated livestock practices. …”
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The use of radar-optical remote sensing data and geographic information system–analytical hierarchy process–multicriteria decision analysis techniques for revealing groundwater rec... by Wang Yuxia, Han Yanzhong, Guo Yujiao, Wang Jingwei, Wang Nana, Abdelkareem Mohamed

“…To investigate the combined impact of the model, 13 input thematic maps, including elevation, slope, curvature, depression, drainage density, Topographic Wetness Index, distance to river, Stream Power Index, Terrain Roughness Index, geology, lineaments, Normalized Difference Vegetation Index, and rainfall factors, were created, and employed in the model, which was subsequently merged through GIS techniques to reveal prospective zones. …”
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Big Earth data processing using machine learning for integrated mapping of the dead sea fault, Jordan by Polina Lemenkova

“…The results include 12 new thematic maps including a 3D model. …”
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Agro-Ecological Assessment of Lands in Behshahr County for Lentil (Lens culinaris Medik.) Cultivation by Karim Reyahi, Hossein Kazemi, Afshin Soltani, Fardin Sadeghzadeh

“…In this research, climatic variables (minimum, maximum, average temperatures and annual precipitation), topography (slope, aspect, and elevation above sea level), and soil characteristics (texture, K, P, Cu, Mn, N, Fe, TNV, organic matter, EC, pH) were used. Thematic maps for each variable were created using various models in ArcGIS 10.8 and then overlaid with AHP weights. …”
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Estimating Suitable Areas for Dry Almond (Amygdalus communis L.) Cultivation Development in Fars Province using Geographic Information System (GIS) by Ayatollah Karami, Alireza Salehi, Vida Aliyari

“…After fuzzifying the maps and combining the fuzzy scores with the assigned weights, thematic maps were generated for each criterion. Analysis of these maps revealed that the most limiting factors for almond cultivation in Fars Province are climatic conditions (including precipitation, mean minimum temperature during the flowering stage, and temperatures during the fruit formation and ripening stages) and topography (slope percentage and elevation). …”
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