Access to head and neck cancer specialists: a geospatial analysis of U.S. travel time by Bradley L. Goodnight, Glenn J. Hanna, Dandan Zheng, Magdiel Habila, Marie Cassese, Alexander Fortman, Harold Walbert, Fred Sieling, Christopher M. Black

“…News and World Report, to examine the distribution of H&N cancer specialists relative to incident cancer cases. The study analyzed county-level data across the United States, incorporating demographic factors such as race/ethnicity, age, education, and socioeconomic status. …”
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Geospatial parametric approach for identifying optimal sites for wind-solar hybrid energy systems by Nyange Augustine Mbufua, Pascalin Tiam Kapen, François Ngapgue, Armand Nzeukou Takougang

“…Across parameters, the synergy between the criteria weights and geospatial context drove robust differentiation of potential energy sites. …”
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Geospatial Innovation Breakthroughs: A Study on the Impact of Talent Birthplace Diversity and Multidimensional Proximity by Jin Wenwan, He Xinyi, Zhu Shengjun, Zhang Xudong

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Geospatial assessment of eco-environmental changes in desertification area of the Brazilian semi-arid region by Richarde Marques da Silva, Celso Augusto Guimarães Santos, Karinna Ugulino de Araújo Maranhão, Alexandro Medeiros Silva, Valéria Raquel Porto de Lima

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Hybrid algorithms for geospatial analysis of dam location points in protective tasks for protected areas by S. Rodriguez Vasquez, N. V. Mokrova

“…The strategy used is based on two fundamental assumptions: identifying the tops of spatial objects (rivers) and analyzing the distances between spatial objects (rivers and adjacent territories). …”
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geodl: An R package for geospatial deep learning semantic segmentation using torch and terra. by Aaron E Maxwell, Sarah Farhadpour, Srinjoy Das, Yalin Yang

“…A variety of R packages have been developed for processing and analyzing geospatial data. However, there are currently no packages available for implementing geospatial DL in the R language and data science environment. …”
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Assessing wildfire susceptibility in Iran: Leveraging machine learning for geospatial analysis of climatic and anthropogenic factors by Ehsan Masoudian, Ali Mirzaei, Hossein Bagheri

“…Utilizing advanced remote sensing, geospatial information system (GIS) processing techniques such as cloud computing, and machine learning algorithms, this research analyzed the impact of climatic parameters, topographic features, and human-related factors on wildfire susceptibility assessment and prediction in Iran. …”
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GEOSPATIAL ANALYSIS OF THE IMPACT OF OYAN RIVER DAM IN OGUN STATE NIGERIA ON ITS DOWNSTREAM COMMUNITIES by Gaius Ojo

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ASSESSMENT OF BLACK ICE RISK LEVELS IN THE CITY CENTER OF ERZURUM (TURKEY) USING GEOSPATIAL DATA by Ertuğrul Güney, Mehmet Fatih Döker

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Geospatial Data and Google Street View Images for Monitoring Kudzu Vines in Small and Dispersed Areas by Alba Closa-Tarres, Fernando Rojano, Michael P. Strager

“…The INHABIT database from the United States Geological Survey (USGS) provided geospatial data of Kudzu vines and Google Street View (GSV) a set of images. …”
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Geospatial Assessment of the Effect of Gold Mining in Atakunmosa East Local Government Area, Osun State. by Paul Tomilola Elufisan

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Geospatial techniques-based analysis of the flood risk vulnerability of Arba Minch City in Southern Ethiopia by Ashenafi Tilahun Hailie, Kenate Worku Tabor, Abera Uncha Utalo, Abren Gelaw Mekonnen

“…This study has explored, analyzed, and categorized the flood hazard and risk levels of Arba Minch City in South Ethiopia by integrating geospatial and Analytical Hierarchy Process techniques. …”
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Quantifying the Drivers of the Spatial Distribution of Urban Surfaces in Bangladesh: A Multi-Method Geospatial Analysis by Kazi Jihadur Rashid, Rajsree Das Tuli, Weibo Liu, Victor Mesev

“…Using Landsat 5 and 9 imageries, the Normalized Difference Built-up Index (NDBI) was computed for 1993 and 2023 to map urban surface changes. A total of 16 geospatial variables representing potential drivers were analyzed. …”
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Geospatial and modelling analyses reveal diverse tick and tick-associated microbes in the East African Community by Abakundana Nsenga Ariston Gabriel, Xiao-Yang Wang, Guo-Yao Zu, Pei-Yu Zhen, Laila Jamil, Shi-Jing Shen, Cheng Li, Ntakirutimana Theoneste, Lin Zhao, Wu-Chun Cao

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Mapping urban functional zones with remote sensing and geospatial big data: a systematic review by Shouhang Du, Xiuyuan Zhang, Yichen Lei, Xin Huang, Wei Tu, Bo Liu, Qingyan Meng, Shihong Du

“…With the rapid development of intelligent sensors, the available geospatial big data, reflecting individual human activities, have greatly increased and enable users to analyze UFZs from both physical and socioeconomic aspects. …”
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The Analysis of Geospatial Factors Necessary for the Planning, Design, and Construction of Agricultural Biogas Plants in the Context of Sustainable Development by Anna Kochanek, Józef Ciuła, Agnieszka Generowicz, Olena Mitryasova, Aleksandra Jasińska, Sławomir Jurkowski, Paweł Kwaśnicki

“…The issues of agricultural biogas plant profitability are discussed using examples from Poland, analyzing the economic and financial aspects of investing in this type of plant. …”
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Integrating Fire Behavior Models and Geospatial Analysis for Wildland Fire Risk Assessment and Fuel Management Planning by Alan A. Ager, Nicole M. Vaillant, Mark A. Finney

“…A number of fire behavior metrics, including fire spread, intensity, likelihood, and ecological risk must be analyzed for multiple treatment alternatives. The effect of treatments on wildfire impacts must be considered at multiple scales. …”
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The integrated application of big data and geospatial analysis in maritime transportation safety management: A comprehensive review by Xiao Zhou, Zhou Huang, Tian Xia, Xinmin Zhang, Zhixin Duan, Jie Wu, Guoqing Zhou

“…Then, commonly used maritime big data and geospatial analysis methods are analyzed. Subsequently, based on a thorough and systematic content analysis, the research is categorized into five clusters: spatiotemporal analysis of marine accidents, navigation risk assessment, location of emergency facilities, allocation of emergency resources, and emergency response capability assessment. …”
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Groundwater quality assessment in selected polluted hotspots of Tamil Nadu, India using geospatial and statistical approaches by S. Barathkumar, K.M. Sellamuthu, K. Sathiyabama, P. Malathi, R. Kumaraperumal, P. Devagi, S. Pazhanivelan

“…Geospatial mapping visualized parameter variations, while statistical techniques, including the Water Quality Index (WQI), correlation analysis, Piper plot, and Gibbs plot, were employed for risk assessment. …”
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Integration of Earth Observation and Geospatial Datasets for the Development of a National Multi-hazard Risk Assessment in Cyprus by M. Tzouvaras, M. Tzouvaras, C. Panagiotou, N. Kyriakides, M. Prodromou, M. Prodromou, P. Vasiliou, M. Doukanari, M. Doukanari, K. Fotiou, K. Fotiou, D. Hadjimitsis, D. Hadjimitsis

“…The study highlights the importance of geospatial technologies in disaster risk reduction and decision-making processes. …”
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