Exploring the temporal shift in menstrual hygiene practices among young women across India: a micro and macro perspectives by S. K. Singh, Bharti Singh

“…Spatial variation and temporal changes reveal the influence of geospatial attributes, awareness, education, sanitation, and economic prosperity on MHP. …”
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Ionospheric Anomaly Identification: Based on GNSS-TEC Data Fusion Supported by Three-Dimensional Spherical Voxel Visualization by Boqi Peng, Biyan Chen, Busheng Xie, Lixin Wu

“…This work bridges gaps in geospatial modeling by harmonizing ionospheric tomography with Earth system grids, offering a feasible solution for analyzing multi-scale ionospheric phenomena.…”
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Assessing spatiotemporal trends of riverbank erosion using a GIS-DSAS-based integrated approach by Jahid Hasan, Md. Alif Uz Zaman, Mst Ilme Faridatul

“…DSAS is a powerful tool for analyzing and understanding spatiotemporal trends in shoreline and riverbank changes, making it indispensable for geospatial studies in dynamic environments. …”
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Statistical Approach to Research on the Relationship Between Kp/Dst Geomagnetic Indices and Total GPS Position Error by Mario Bakota, Igor Jelaska, Serdjo Kos, David Brčić

“…GNSS data from a globally distributed network of 14 IGS stations were analyzed for September 2017, featuring significant geomagnetic activity. …”
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Multivariate hydrochemical assessment of groundwater quality for irrigation purposes and identifying soil interaction effects and dynamics of NDVI and urban development in alluvial... by Sher Muhammad Ghoto, Dr. Habibullah Abbasi, Sheeraz Ahmed Memon, Khan Muhammad Brohi, Rabia Chhachhar, Asad Ali Ghanghlo, Imran Aziz Tunio

“…It performs multivariate statistical analysis and geospatial methods to evaluate irrigation groundwater water quality. …”
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Autonomous Decision-Making Enhancing Natural Disaster Management through Open World Machine Learning: A Systematic Review by Nikitas Gerolimos, Vasileios Alevizos, Sabrina Edralin, Clark Xu, Georgios Priniotakis, George A. Papakostas, Zongliang Yue

“…The results demonstrate that OWML models can effectively process large geospatial datasets and respond to looming threats with greater precision. …”
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Improving spatial modeling framework to assess the impact of vegetation cover, water content, and surface temperature on urban heat island effects in Johannesburg, South Africa by Eskinder Gidey, Paidamwoyo Mhangara

“…The primary indices processed—including the Modified Soil Adjusted Vegetation Index (MSAVI2), Normalized Difference Moisture Index (NDMI), and Urban Heat Island (UHI)—were all analyzed using ArcGIS Pro v3.1.4183 geospatial software. …”
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Predicting the Spatial Distribution of Geological Hazards in Southern Sichuan, China, Using Machine Learning and ArcGIS by Ruizhi Zhang, Dayong Zhang, Bo Shu, Yang Chen

“…A dataset comprising 2700 known geological hazard locations in Yibin City was analyzed to extract key environmental and topographic features influencing hazard susceptibility. …”
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Digital mapping of soil organic carbon stocks in the forest lands of Dominican Republic by Efraín Duarte, Erick Zagal, Juan A. Barrera, Francis Dube, Fabio Casco, Alexander J. Hernández

“…Twenty environmental covariates were analyzed, including climate, topography, and vegetation. …”
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GIS based flood susceptibility mapping in the Keleghai river basin, India: a comparative assessment of bivariate statistical models by Kabirul Islam

“…In this regard, to prepared flood susceptibility maps 418 the flood point’s inventory data was extracted from ‘BHUVAN’ geospatial platform from which 293 were used for model building and 125 were used for model validation. …”
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Development of StoryMaps-Based Learning Media on Tourism Resource Materials of Batu City from a Spatial Perspective by Mia Ayu Maulidya, Purwanto Purwanto, Maria Cicilia Tri Palupi

“…The utilization of geospatial technology must be enhanced to promote students’ spatial literacy through the habituation of thinking from a spatial perspective. …”
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Blue carbon dynamics and mangrove extent: a case study from the Indonesia–Timor Leste Coastal ecosystem by Wanri Sitanggang, Diah Permata Wijayanti, Rudhi Pribadi, Chrisna Adhi Suryono, Maria Dyah Ayu Pitaloka, Egidius Naitkakin, Daniel Candido Da Costa Soares, Herning Pramudya, Yosni Kiuk

“…Organic carbon was analyzed using the Loss on Ignition (LOI) method, and sediment grain size was measured using a particle size analyzer. …”
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Impact of urban spatial compactness on air pollution in China by Changyi Liang, Jing Zhao, Jing Li, Rui Zhang

“…We established a dataset containing Landcover data, PM2.5 surface annual average concentration data, urban economic statistics, and geospatial data to construct a geometric form index for Chinese prefecture level and above cities. …”
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Application of Statistical Methods for the Characterization of Radon Distribution in Indoor Environments: A Case Study in Lima, Peru by Rafael Liza, Félix Díaz, Patrizia Pereyra, Daniel Palacios, Nhell Cerna, Luis Curo, Max Riva

“…This study evaluates the effectiveness of advanced statistical and geospatial methods for analyzing radon concentration distributions in indoor environments, using the district of San Martín de Porres, Lima, Peru, as a case study. …”
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Implementation of a 2D/3D WebGIS for Electricity Network Management System by M. Amović, V. Arnaut, D. Koprena

“…This study presents a geospatial decision-support system for the low and medium voltage (LV/MV) network of Elektrokrajina d.o.o., the main electricity distributor in Republika Srpska. …”
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Improving Georeferencing Accuracy in Drone Imagery: Combining Drone Camera Angles with High and Variable Fields of View by Vishal Nagpal, Manoj Devare

“…This paper stresses the importance of FOV correction for the greater drone geospatial analysis system performance. …”
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Mobile Mapping System for Urban Infrastructure Monitoring: Digital Twin Implementation in Road Asset Management by Vittorio Scolamiero, Piero Boccardo, Luigi La Riccia

“…A recent innovation, the mobile mapping system (MMS), is a versatile tool used to collect geospatial data efficiently, accurately, and quickly, with reduced time and costs compared to traditional survey methods. …”
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Production and Analysis of a Landslide Susceptibility Map Covering Entire China by Guo Zhang, Yutao Liu, Zhenwei Chen, Zixing Xu, Yuan Yuan, Shunyao Wang, Weiqi Lian, Hang Xu, Zan Ding, Run Wang

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Urbanization and land surface temperature dynamics in Bahir Dar, Ethiopia: a comparative analysis of pre- and post-capital status by Mastawal Melese, Mastawal Melese, Mesfin Anteneh, Simachew Bantigegn

“…However, few studies have examined the long-term thermal impacts of urban expansion, particularly pre- and post-capital designation effects in rapidly growing cities like Bahir Dar, Ethiopia.Methods: This study analyzes LULC changes and LST dynamics from 1984 to 2024 using remote sensing and geospatial techniques. …”
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Spatial analysis of COVID-19 incidence and mortality rates in northwest iran for future epidemic preparedness by Mohsen Soleimani, Ahmad Jalilvand

“…Using data from 39,739 hospitalized COVID-19 cases recorded between February 2020 and September 2021, sourced from the Medical Care Monitoring Center, we conducted descriptive and geospatial analyses. Demographic, clinical, and spatial variables were analyzed using logistic regression and advanced spatial techniques, including Kernel Density Estimation and Local Moran’s I, to identify risk factors and disease hotspots. …”
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