Unlocking genetic diversity for low-input systems in a changing climate through participatory characterization and GWAS of lentil landraces by Elisa Lorenzetti, Mercy Wairimu Macharia, Svenja Mager, Matteo Dell’Acqua, Stefano Carlesi, Paolo Bàrberi

“…We characterized their phenotypic diversity with an augmented block design, using a control plot enabling a spatial analysis. We phenotyped the collection during two cropping seasons for its agronomic performance, involving local practitioners in a participatory variety evaluation. …”
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Geospatial Analysis of COVID-19 Death Rate and Influencing Factors in the MENA Region by MUSTAFA SHEBANI ABOALYEM, Mohd Tahir Ismail

“… The COVID-19 pandemic has significantly impacted the Middle East and North Africa (MENA) region, with over twenty-eight million cases and 800,000 deaths reported as of August 2023. Spatial analysis can help identify factors associated with the high death toll and develop targeted interventions to reduce the virus's spread and improve health outcomes. …”
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GIS-Driven mineral exploration: Enhancing geological insight through aeromagnetic integration by Benyas Kawtar, Idrissi Assia, Qarbous Abdelmounim, Sassioui Slimane, Aarab Abdellatif, Lakhloufi Abdellah, Aitali Rajaa

“…This study combines spatial analysis with aeromagnetic geophysical prospecting methods, using Geographic Information Systems (GIS), which are effective for integrating spatio-temporal data and organizing research phases. …”
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Estimación de Erosión Hidrica de Suelos para plan de Manejo del Campo Forestal Aguas Frías, Patagonia Argentina by Ana Cecilia Dufilho, María Cristina Frugoni, Pablo Macchi, Alan Thot

“…The application of spatial analysis tools in the study of soil water erosion in Patagonia, Argentina contributes to the objective of defining define a program of development and adequate management, as a function of the state and degree of potential soil erosion.…”
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Ecological Management Zoning Identification by Coupling Blue-Green and Gray Infrastructure Networks: A Case Study of Guizhou Province, China by Shuang Song, Xuanhe Zhang, Shaohan Wang, Yue Gong

“…Taking Guizhou Province as an example, using multi-source data and spatial analysis tools, this study proposed an ecological management zoning framework based on the coupling analysis of the blue-green infrastructure (BGI) network and gray infrastructure (GI) network. …”
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Hydrogeochemical Evaluation of Groundwater Quality and Its Applicability for Various Purposes in the Drought-Prone Konso Zone, Rift Valley, Southern Ethiopia by Abel Abebe, Muralitharan Jothimani, Gosaye Berhanu

“…Moreover, the high concentrations of total dissolved solids in Konso Zone groundwater pose challenges for industrial, agricultural, and drinking purposes. GIS-based spatial analysis techniques, hydrogeochemical analyses, and water quality indices were used in the current study. …”
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Estimation of Landslides and Road Capacity after August 8, 2017, MS7.0 Jiuzhaigou Earthquake Using High-Resolution Remote Sensing Images by Xiao Fu, Qing Zhu, Chao Liu, Naiwen Li, Wenhua Zhuang, Zhengli Yang, Heng Lu, Min Tang

“…As most road damage in the mountainous region could be attributed to the landslides nearby, the impacts of landslide on road are studied based on spatial analysis and are used to infer occluded road damage. …”
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Serial Analysis of Ten Precipitation-Based Indices by Land Use in Semiarid Regions by Victor M. Rodríguez-Moreno, J. Ariel Ruíz-Corral, J. Saúl Padilla-Ramírez, Alfonso Peña-Ramos, Thomas G. Kretzschmar

“…Using multivariate statistical and geostatistical spatial analysis techniques, the influence of those indices on five land use strata was explored. …”
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Impact of multi-scenario land-use changes on habitat quality evolution in the Yangtze River economic belt by Bowen Dong, Tiantian Huang, Tao Tang, Delin Huang, Chen Tang

“…This trend reflects moderate habitat degradation (HD), with the degree of degradation shifting towards lower and higher proportions of HQ. Spatial analysis of HQ further reveals that the eastern region is identified as a cold spot, the central region is categorized as non-significant, while the western region emerges as a hot spot, where HQ exceeds 40%. …”
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Towards global elimination of lymphatic filariasis: a systematic review of the application of spatial epidemiological methods to enhance surveillance and support elimination progra... by Angela Cadavid Restrepo, Colleen L Lau, Beatris Mario Martin, Helen J Mayfield

“…The most frequent model outputs were prevalence maps (17 studies, 27.9%), followed by risk maps based on environmental suitability (7 studies, 11.5%) and maps of the odds of seroprevalence being above a predetermined threshold (7 studies, 11.5%).Interpretation By demonstrating the applicability of spatial methods for investigating transmission drivers, identifying clusters and predicting hotspots, we highlight innovative ways in which spatial epidemiology has provided valuable evidence to support LF elimination. Spatial analysis is particularly useful in low-prevalence settings for improving hotspot detection and enhancing postelimination surveillance.PROSPERO registration number CRD42022333804.…”
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Fire Regime in a Peatland Restoration Area: Lesson from Central Kalimantan by Bekti Larasati, Mamoru Kanzaki, Ris Hadi Purwanto, Ronggo Sadono

“…The highest number of hotspots was also observed in this year, with hotspots concentrated in the latter half of drought period. Moreover, spatial analysis using Kernel Density Estimation (KDE) showed fire recur in degraded areas. …”
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Knowledge-driven semantic converting method of multimodal models toward a geospatial perspective by Jianbo Lai, Jun Zhu, Pei Dang, Jianlin Wu, Yukun Guo, Xinyu Yang, Na Li

“…However, it is challenging to directly convert the same object across various software systems with different modalities (such as spatial analysis, BIM design, numerical simulation etc.). …”
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Revealing Halal Certification Oversight Gaps for MSEs through ArcGIS Dashboard Integration by Imam Arifa’illah Syaiful Huda, Maratun Saadah, Agus Sugiarto, Mohd Hairy Bin Ibrahim, Ravinesh Rohit Prasad, Alfyananda Kurnia Putra, Ahyat Budianto

“…This research successfully develops geospatial technology for managing halal industries within MSEs, enabling comprehensive data integration and spatial analysis. The findings highlight its potential to enhance monitoring, support policy recommendations and accelerate the halal certification process.…”
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Frequency Spectrum-Based Optimal Texture Window Size Selection for High Spatial Resolution Remote Sensing Image Analysis by Min Cao, Dongping Ming, Lu Xu, Ju Fang, Lin Liu, Xiao Ling, Weizhi Ma

“…Texture features based on gray level co-occurrence matrix (GLCM) are widely used in image spatial analysis where the spatial scale is especially of great significance. …”
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From ecological to anthropogenic factors: unraveling the drivers of blue crab Callinectes sapidus occurrence along the Mediterranean coasts by Anna Gavioli, Giuseppe Castaldelli, David B. Eggleston, Robert R. Christian

“…One of the most recent threats to Mediterranean ecosystems is the invasion of the Atlantic blue crab Callinectes sapidus.MethodsThe occurrences of the crab throughout the Mediterranean coastline were indexed from citizen science through the Global Biodiversity Information Facility. Using spatial analysis and linear mixed models, we investigated geomorphology (i.e., water depth and coastal wetlands extension), water physical variables (i.e., salinity and winter and summer water temperature), water quality variables (i.e., chlorophyll-a, nitrate and orthophosphate) and anthropogenic factors (i.e., ship density and population size) potentially affecting the blue crab occurrence along the coast.ResultsOur results showed that nitrate, as an indicator of riverine nutrient loading, and water depth, as an indicator of slope of the bottom, were the most influential variables in explaining the occurrences of blue crabs. …”
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Exploring Seasonality Indices for Low-Flow Analysis on Tibagi Watershed (Brazil) by Alexandre Sokoloski de Azevedo Delduque de Macedo, Michael Männich

“…The results indicate that, despite the watershed not presenting a strong seasonality, there is a tendency for low-flow discharges to concentrate in certain months, notably in August, September, and October. Spatial analysis reveals varied patterns with a certain trend of increased seasonality intensity (parameter <i>r</i>) towards downstream (north) and as the watershed area increases. …”
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The role of geographic information systems (GIS) in decision-making for the localization of industrial areas and the evaluation of existing industrial areas (an applied study in th... by El Monhim Bilal, Sbai Abdelkader, Arabi Mourad, Makkaoui Mohamed, Hlal Mohammed, Benrbia Khadija

“…Furthermore, our correlation between the current industrial zones delineated in the direction plan, Nador Horizon 2040, and the outcomes derived from the spatial analysis of industrial localization factors using geographic information systems (GIS), adds to the validity and comprehensiveness of our research.…”
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Spatial and hydrological analysis of the water supply system in as-Sila'/Sela (Tafila, Jordan) based on a 3D model by Roser Marsal, Jesús García-Carpallo

“…The research described below proposes a spatial analysis of the hydraulic infrastructure, and settlement remains, as well as a topographic analysis of the site of as-Sila'/Sela on the southern Transjordan plateau. …”
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Impact of the information and communication sector on spatial development and post-war recovery of creative industries in Ukraine's economy by Marianna Kichurchak

“…The following scientific methods were used: induction and deduction, comparative and spatial analysis, multiple regression analysis. The author has revealed that, in 2014–2020, given indicators of value added at factor costs of business entities, the number of active business entities in this sector, the number of persons employed by business entities and turnover, the positions of the ICS have strengthened in the regions of Ukraine, which favourably affected the development of creative industries. …”
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Spatio-temporal risk prediction of leptospirosis: A machine-learning-based approach. by Rodrigue Govan, Romane Scherrer, Baptiste Fougeron, Christine Laporte-Magoni, Roman Thibeaux, Pierre Genthon, Philippe Fournier-Viger, Cyrille Goarant, Nazha Selmaoui-Folcher

“…<h4>Methodology/principal findings</h4>This study aims to establish a precise spatio-temporal risk map of leptospirosis at a national scale, using binarized incidence rates as the variable to predict. The spatial analysis was conducted at a finer resolution than the city level, while the temporal analysis was performed on a monthly basis from 2011 to 2022. …”
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