Characterizing the variability and trend of rainfall in central highlands of Abbay Basin, Ethiopia: using IMERG-06 dataset by Mulugojjam Taye, Daniel Mengistu, Dejene Sahlu

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Geographic information system and information visualization capacity building: Successful polio eradication and current and future challenges in the COVID-19 era for the World Heal... by John Kapoi Kipterer, Kebba Touray, Akpan Ubong Godwin, Aboubakar Cisse, Babona Nshuti Marie Aimee, Ngobe Busisiwe, Chefor Ymele Demeveng Derrick, Green Hugh Henry, Ndoutabe Modjirom, Vince Seaman, Jamal Ahmed

“…The AFRO GIS comprises a set of mobile device or cloud-based tools for geospatial data collection, analysis, and visualization. …”
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Diversification of crop rotations and soil carbon balance: impact assessment based on national-scale monitoring data by Joel Kostensalo, Jari Hyväluoma, Lauri Jauhiainen, Riikka Keskinen, Visa Nuutinen, Pirjo Peltonen-Sainio, Jaakko Heikkinen

“…In this study, we estimated how changes in crop rotations affected SOC balance in Finland between 2009 and 2018, using geospatial data and Bayesian modeling. The area designated for perennial-dominated and diverse cereal rotations increased over the study period. …”
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GROUNDWATER POTENTIAL ZONE IDENTIFICATION USING REMOTE-SENSINGBASED/GIS BASED MACHINE AND ANALYTICAL HIERARCHY PROCESS (AHP) FOR ABBAY WATERSHED, EAST AFRICA by Agegnehu Kitanbo Yoshe

“…This paper examines groundwater potential zones with the help of remote sensing and GIS methods for controlling and investigating the geospatial data of each parameter. Because of several conditions such as rapid population growth, urbanization, industrialization and agricultural development, groundwater sources are under severe threat. …”
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Real-Time Co-Editing of Geographic Features by Hrvoje Matijević, Saša Vranić, Nikola Kranjčić, Vlado Cetl

“…Real-time GIS enables multiple geographically dislocated users to collaboratively edit geospatial data. However, being based on the strong consistency model, traditional real-time GIS implementations cannot provide fully automatic conflict resolution. …”
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Investigating the Performance of Open-Vocabulary Classification Algorithms for Pathway and Surface Material Detection in Urban Environments by Kauê de Moraes Vestena, Silvana Phillipi Camboim, Maria Antonia Brovelli, Daniel Rodrigues dos Santos

“…This study advances urban feature mapping by offering a more intuitive and accurate approach to geospatial data extraction, enhancing urban accessibility and mobility mapping.…”
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Future climate change impact on hydrological regime of river basin using SWAT model by V. Anand, B. Oinam

“…An integrated approach is applied by coupling Soil and Water Assessment Hydrological Model and Hadley Center Coupled Model based on temperature, rainfall and geospatial data. Future representative concentration pathways 2.6, 4.5 and 8.5 scenarios for 2050s and 2090s decades were used to evaluate the effects of climatic changes on hydrological parameters. …”
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Automated detection of granitic complexes in NW Parwan, NE Afghanistan using Sentinel-2B/MSI and ASTER data by Noor Rahman Rahmani, Hemayatullah Ahmadi, Frishta Rahimy, Atal Yousufi

“…This study aims to detect and map granitic complexes using geospatial data and spectral algorithms within the arid and semi-arid environment of northwestern Parwan Province, northeastern Afghanistan. …”
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High-fidelity immersive virtual reality environments for gait rehabilitation exergames by Laura Schalbetter, Adrienne Grêt-Regamey, Fabian Gutscher, Ulrike Wissen Hayek

“…The novelty lies in the use of high-fidelity immersive environments implementing 3D geospatial data and motion to create targeted therapeutic applications that closely mimic reality while harnessing the environment’s restorative functions.MethodsWe integrated 3D point clouds from laser scans and geolocated ambisonic sound recordings into a game engine. …”
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Spatial pattern and distribution of urban farms and climate change adaptation implications in urban Ghana by Godwin K. Naazie, Isaac Agyemang, Anthony M. Tampah-Naah

“…The study employed a mixed-methods research approach. Geospatial data was collected using the Global Positioning System. …”
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Exploring the Spatial Patterns of Accessibility to Metro Services Considering the Locations of Station Entrances/Exits by Congxiao Yan, Yueer Gao, Yifu Yang

“…This study employed multi-source geospatial data from Xiamen, China, to examine the supply and demand dynamics of metro stations with a particular emphasis on entrances/exits. …”
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Automatic Road Extraction from Historical Maps Using Transformer-Based SegFormers by Elif Sertel, Can Michael Hucko, Mustafa Erdem Kabadayı

“…Historical maps are valuable sources of geospatial data for various geography-related applications, providing insightful information about historical land use, transportation infrastructure, and settlements. …”
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Constructing Efficient Mesh-Based Global Grid Systems with Reduced Distortions by Lakin Wecker, John Hall, Faramarz F. Samavati

“…Recent advancements in geospatial technologies have significantly expanded the volume and diversity of geospatial data, unlocking new and innovative applications that require novel Geographic Information Systems (GIS). …”
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Enhancing Early Breast Cancer Detection with Infrared Thermography: A Comparative Evaluation of Deep Learning and Machine Learning Models by Reem Jalloul, Chethan Hasigala Krishnappa, Victor Ikechukwu Agughasi, Ramez Alkhatib

“…Leveraging advanced feature extraction and visualization techniques inspired by geospatial data methodologies, we evaluated several deep learning architectures and classical classifiers using the DRM-IR and Breast Thermography Mendeley thermal datasets. …”
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Environmental factors affecting the BMI of older adults in the Philippines spatially assessed using machine learning by D.K. Mendoza, A.B. Araza, L.D. Groot, M. Mensink, R.C. Tan

“…We applied a data-driven method that integrates open-access remote sensing products and geospatial data, along with the first nutritional survey in the Philippines with geo-locations conducted in 2021. …”
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Predicting turbidity dynamics in small reservoirs in central Kenya using remote sensing and machine learning by Stefanie Steinbach, Anna Bartels, Andreas Rienow, Bartholomew Thiong’o Kuria, Sander Jaap Zwart, Andrew Nelson

“…However, inter-annual variability prediction could benefit from more knowledge of additional factors that may not be fully captured in commonly available geospatial data. This study contributes to the relatively small body of remote sensing-based research on water quality in small reservoirs and supports improved small-scale water management.…”
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Multi-Temporal Assessment of Soil Erosion After a Wildfire in Tuscany (Central Italy) Using Google Earth Engine by Francesco Barbadori, Pierluigi Confuorto, Bhushan Chouksey, Sandro Moretti, Federico Raspini

“…All the analyses were carried out using the Google Earth Engine (GEE) platform with free-access geospatial data and satellite images in order to exploit the cloud computing potentialities. …”
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Geographical accessibility of emergency neonatal care services in Ethiopia: analysis using the 2016 Ethiopian Emergency Obstetric and Neonatal Care Survey by Andrew Hayen, Getiye Dejenu Kibret, Daniel Demant

“…We used the 2016 Ethiopian Emergency Obstetric and Neonatal Care survey in addition to several geospatial data sources.Results We estimated that 21.4%, 35.9% and 46.4% of live births in 2016 were within 30, 60 and 120 min of travel time of fully EmNeC services, but there was considerable variation across regions. …”
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Urban region representation learning with human trajectories: a multi-view approach incorporating transition, spatial, and temporal perspectives by Yu Zhang, Weiming Huang, Yao Yao, Song Gao, Lizhen Cui, Zhongmin Yan

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slendr: a framework for spatio-temporal population genomic simulations on geographic landscapes by Petr, Martin, Haller, Benjamin C., Ralph, Peter L., Racimo, Fernando

“…Together with its R-idiomatic interface to the tskit library for tree-sequence processing and analysis, slendr opens up the possibility of performing efficient, reproducible simulations of spatio-temporal genomic data entirely within the R environment, leveraging its wealth of libraries for geospatial data analysis, statistics, and visualization. …”
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