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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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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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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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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An Analysis of Spatial Distribution of Urban Services with Focus on Social Justice and Emphasis on Citizens\' Satisfaction (Case Study: District 11 of Mashhad) by ahmad asadi, roghayeh kalateh meymari

“…Using the Cochran formula, the sample size of the population was estimated at 383 people and the data were obtained using spatial analysis ArcGIS and SPSS software have been analyzed. …”
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Spacetime modeling of mortality by infectious and parasitic diseases in Brazil: a 20-year ecological and population-based study by Lucas Almeida Andrade, Carlos Dornels Freire de Souza, Wandklebson Silva da Paz, Danilo de Gois Souza, José Augusto Passos Góes, Emerson Lucas Silva Camargo, Álvaro Francisco Lopes de Sousa, Liliane Moretti Carneiro, Isabel Amélia Costa Mendes, Karina Machado Araújo, Allan Dantas dos Santos, Márcio Bezerra-Santos

“…We applied the segmented log-linear regression model to assess temporal trends. For spatial analysis, we used the local empirical Bayesian estimator and Moran indices. …”
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Risk Analysis of Groundwater Contaminant in Rural Areas Using Spatial Distribution by Herawati Herawati, Maria Kanan, Anwar Mallongi, Ramli Bidullah, Sandy N. Sakati, Dwi Wahyu Balebu

“…Method: This study aims to analyse the level of pollution risk of groundwaters in rural areas of Masama District, Banggai Regency using descriptive quantitative methods. Spatial analysis of pollution risk was conducted on 516 Groundwaters selected as samples. …”
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Anthropogenic Disturbance and Climate Change Impacts on the Suitable Habitat of Sphenomorphus incognitus in China by Kai Chen, Li Ma, Weijun Jiang, Lijin Wang, Li Wei, Hongji Zhang, Ruhao Yang

“…Human disturbance has significantly reduced suitable habitat by 44.13 × 104 km2, which is a decrease in 23.95% compared to natural conditions. Spatial analysis revealed substantial fragmentation of suitable habitat due to human activities. …”
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Land use transition and its driving mechanisms in China’s human-elephant conflict areas by WANG Yuan, WANG Yahui, YANG Aoxi, FAN Hui, XIE Fei

“…[Methods] This study focuses on the human-elephant conflict areas in Pu’er City and Xishuangbanna Prefecture in Yunnan Province as the study areas, based on four periods of remote sensing images in 1990, 2000, 2010, and 2020, as well as two periods of household questionnaire survey data in 2020 and 2022, utilizing spatial analysis and input-output analysis methods to reveal the characteristics and driving mechanisms of land use transition in human-elephant conflict zones. …”
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Risk Factors Associated with Dengue Transmission and Spatial Distribution of High Seroprevalence in Schoolchildren from the Urban Area of Medellin, Colombia by Leidy Diana Piedrahita, Ivony Y. Agudelo Salas, Katherine Marin, Andrea I. Trujillo, Jorge E. Osorio, Sair Orieta Arboleda-Sanchez, Berta Nelly Restrepo

“…A longitudinal serological survey (IgG) and spatial analysis were conducted to determine the distribution of DENV seroprevalence. …”
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Spatial and Temporal Relationships Between Roe and Red Deer in an Alpine Area by Valerio Donini, Luca Pedrotti, Francesco Ferretti, Elisa Iacona, Lucrezia Lorenzetti, Francesca Cozzi, Luca Corlatti

“…Results showed no significant effect of red deer relative abundance on the probability of presence of roe deer. Spatial analysis suggested a higher probability of roe deer presence in forested habitats, at lower elevations, and in areas with gentler slopes. …”
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Invariant Spatial Pattern Across Mediterranean Scrublands in the Iberian Pear (Pyrus bourgaeana) by Brayan Morera, Pedro J. Garrote, Thorsten Wiegand, Daniel Ayllón, Jose M. Fedriani

“…We tested two hypotheses: (i) because the clumped defecation behavior of some dispersers can lead to local tree aggregation, and because denser groups of fruiting trees can limit seed dispersal by attracting frugivores to specific sites, we expected a consistent small‐scale aggregation pattern across all populations; and (ii) because ungulates reduce recruitment by preying on seeds and seedlings, we hypothesize that ungulate activity will show negative relationships with tree density and level of aggregation. Our spatial analysis revealed consistent and highly aggregated small‐scale patterns of all Iberian pear populations, with one critical scale aggregation, a low density of clusters and high variability in the number of trees per cluster. …”
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iMESc – an interactive machine learning app for environmental sciences by Danilo Cândido Vieira, Danilo Cândido Vieira, Fabiana S. Paula, Luciana Erika Yaginuma, Gustavo Fonseca

“…Developed in R and built on the Shiny platform, iMESc enables the integration of supervised and unsupervised ML methods, along with tools for data preprocessing, visualization, descriptive statistics, and spatial analysis. The Datalist system ensures seamless transitions between analytical workflows, while the “savepoints” feature enhances reproducibility by preserving the analysis state. …”
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Fourier Transform Infrared Spectroscopic Imaging of Fracture Healing in the Normal Mouse by Hans Gollwitzer, Xu Yang, Lyudmila Spevak, Lyudmila Lukashova, Allina Nocon, Kara Fields, Nancy Pleshko, Hayden William Courtland, Mathias P. Bostrom, Adele L. Boskey

“…Fourier transform infrared spectroscopic imaging (FTIRI) was used to study bone healing with spatial analysis of various callus tissues in wild type mice. …”
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