Unveiling urban violence crime in the State of the Selangor, Kuala Lumpur and Putrajaya: a spatial–temporal investigation of violence crime in Malaysia’s key cities by Azizul Ahmad, Tarmiji Masron, Yoshinari Kimura, Mohamad Hardyman Barawi, Norita Jubit, Syahrul Nizam Junaini, Mohd Sofian Redzuan, Asykal Syakinah Mohd Ali, Luqman Haqim Bismelah

“…This study investigates the intricate relationship between violent criminal activities, temporal patterns, and land utilization across Selangor State, Kuala Lumpur Federal Territory (KLFT), and Putrajaya Federal Territory (PFT), Malaysia, spanning from 2015 to 2020. …”
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Oat Cover Crop Integration in Alfalfa‐Tall Fescue Mixed Grasslands: Optimizing Sowing Ratios and Spatial Arrangements for Enhanced Productivity and Weed Suppression by Xiaoyu Zhao, Yuchen Sun, Yuan Li, Yu Jiao, Mengxin Xing, Jiayu Shi, Guofeng Yang, Chao Yang, Wei Tang, Yufang Xu, Juan Sun, Fuhong Miao

“…Collectively, these findings indicate that incorporating 15%–20% oat as a cover crop, particularly under inter‐row sowing patterns, offers a practical and ecologically sound strategy for optimizing forage yield, improving nutritional quality, and achieving robust weed suppression. …”
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Spatial yield gains in empty-row optimized rice–crab co-culture are linked to nifH-driven nitrogen compensation in border rows by Tiexin Yang, Dandan Jin, Liqiang Dong, Liang Ma, Zhengyan Pan, Zhiqiang Li, Fuyu Sun, Xiaosen Sun, Lei Yu

“…Plots were arranged in CK and ERC-12 patterns; the latter was spatially divided into boundary (PB), intermediate (PM), and central (PC) zones. …”
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Analyzing the Impact of Land-Use Characteristics and Demographic Factors on Spatial Variations in Public Bus Usage: A Comparison of Pre- and During COVID-19 Periods by Sukchan Hong, Byungyun Yang

“…The geographical random forest method, an advanced variant of the random forest model, integrates spatial concepts to explain local patterns more effectively than traditional machine learning techniques. …”
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Spatial and Temporal Dynamics of Bentho-Demersal Communities From Bottom Trawl Across the Moroccan Mediterranean Coast in Relation to Environmental Conditions: Implications for Fis... by Douaa Slimani, Souad Abdellaoui, Najib El Ouamari, Khaoula Kasmi, Rajae Mouedden, Imade Ouebdil, Nassir Kaddouri, Jamal Settih, Mostafa Layachi, Mohamed Fadili, Khalid Chaabane

“…Understanding the temporal and spatial patterns, as well as habitat preferences, of marine communities is crucial for interpreting ecosystem functioning and effectively protecting marine organisms’ resources. …”
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A two-stage model for enhanced mango leaf disease detection using an innovative handcrafted spatial feature extraction method and knowledge distillation process by Mohammad Manzurul Islam, Mst. Nasrat Jahan Niva, Abdullahi Chowdhury, Saleh Masum, Rifat Ara Shams, Taskeed Jabid, Md. Sawkat Ali, Md. Mostofa Kamal Rasel, Muhammad Firoz Mridha

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Detecting the Distribution of Callery Pear (<i>Pyrus calleryana</i>) in an Urban U.S. Landscape Using High Spatial Resolution Satellite Imagery and Machine Learning by Justin Krohn, Hong He, Timothy C. Matisziw, Lauren S. Pile Knapp, Jacob S. Fraser, Michael Sunde

“…After the distribution of Callery pear was predicted throughout the landscape, we analyzed the distribution pattern of the predictions using Ripley’s K and then associated the distribution patterns with various socio-economic indicators. …”
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Village-level spatial differentiation and influencing factors of rural population hollowing in the agricultural areas of central China: a case study of Lankao County, Henan by Lisha Cheng, Xiaoyue Li, Li Ma, Jiajun Qiao

“…The findings show that: (1) Villages in Lankao County had a generally high population hollowing index (PHI), with a spatial distribution pattern characterized by higher values in the southwest and lower ones in the northeast. (2) The population hollowing levels of villages in Lankao County showed a significant positive spatial autocorrelation at the global level. …”
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Spatial heterogeneity of forest carbon stocks in the Xiangjiang river Basin urban agglomeration: analysis and assessment based on the multiscale geographically weighted regression... by Yingfeng Kuang, Xiaolong Chen

“…This finding provides a crucial scientific basis for the management and ecological protection of forest resources in the Xiangjiang River Basin.ConclusionThis study effectively reflects the spatial relationship between forest carbon stocks and variables through the geographically weighted regression method and the selection of appropriate spatial kernel functions, enhances the estimation accuracy of the spatial distribution of large-scale forest carbon stocks, and accurately reveals the spatial distribution pattern of forest carbon stocks in the Xiangjiang River Basin. …”
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Research on Spatial Coupling Coordination of Population Shrinkage and Land Use Efficiency from the Human–Land Relationship Perspective: Case Study of Zhejiang Province, China by Zijia Li, Chenhao Wang, Jiwu Wang

“…The coupling coordination algorithm was then employed to identify the different types of human–land relationships and their spatial distribution. The findings reveal that the county unit is the main spatial unit of population shrinkage in Zhejiang Province, and that the LUE changes in the province show significant spatial differentiation characteristics. …”
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Rapid human movement and dengue transmission in Bangladesh: a spatial and temporal analysis based on different policy measures of COVID-19 pandemic and Eid festival by Jahirul Islam, Wenbiao Hu

“…This study aims to explore the spatial and temporal patterns of dengue transmission under various human movement contexts. …”
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Using Landscape Metrics of Pixel Scale Land Cover Extracted from High Spatial Resolution Images to Classify Block-Level Urban Land Use by Haofeng Luo, Xiaomei Yang, Zhihua Wang, Yueming Liu, Huifang Zhang, Ku Gao, Qingyang Zhang

“…However, at present, the extraction of quantitative features from HSRRSIs for BLULUC primarily relies on computer vision or deep learning methods based on image signal characteristics rather than land cover patterns, like vegetation, water, or buildings, thus disconnecting existing knowledge between the landscape patterns and their functions as well as greatly hindering BLULUC by HSRRSIs. …”
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L’accessibilité spatiale comme indice de fragmentation urbaine dans les villes coloniales. Le cas de la ville d’Annaba by Dounia Laouar, Said Mazouz, Jacques Teller

“…The aggregation of three types of urban patterns contributes to the discontinuity and fragmented character of these cities. …”
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Can spatial distribution of ungulates be predicted by modeling camera trap data related to landscape indices? A case study in a fragmented mediterranean landscape by Antonio Belda, Sandra Oltra-Crespo, Pau Miró-Martínez, Benito Zaragozí

“…In this work, we aimed at finding the best model to predict the distribution pattern of wildlife and to explain the relationship between environmental conditions with the species detected by camera traps. …”
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التحليل المكاني لقاعات المناسبات بمدينة بنها على الضفة الشرقية لفرع دمياط دراسة جغرافية تحليلية باستخدام نظم المعلومات الجغرافية... by محمود عبدالمنعم الحسيني حشيش, ياسر محمد عبد الموجود حسن

“…The study also showed that the value of the nearest neighbor coefficient was 0.009, indicating a clustered pattern of distribution of these halls.The study reached a set of results followed by recommendations, perhaps the most important of which is the need to use geographic information systems to study the efficiency of any phenomenon's spatial distribution.…”
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Distribution Characteristics of Nutrients and Eutrophication Assessment in Yueqing Bay by YAO Kaixue, YIN Rui, WANG Yang, CHEN Feng, LI Zhenhua

“…A few key aspects that affect the DIN distribution pattern include land source input, seawater cultivation, and engineering construction. …”
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Spatial distribution and source apportionment of potentially toxic elements in residential soil from Nsuta, a typical manganese mine community in Tarkwa, Southwestern Ghana by Eric Gyimah, Samuel Kwamena, Shadrack Fosu, Emmanuel Daanoba Sunkari, David Edem Dinku, Yao Yevenyo Ziggah

“…The distributions of the heavy metals showed a widespread pattern, while the eastern fringe of the study area was identified as a hotspot for mercury contamination. …”
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Air Conditioning Load Forecasting for Geographical Grids Using Deep Reinforcement Learning and Density-Based Spatial Clustering of Applications with Noise and Graph Attention Netwo... by Chuan Long, Xinting Yang, Yunche Su, Fang Liu, Ruiguang Ma, Tiannan Ma, Yangjin Wu, Xiaodong Shen

“…This study proposes a framework that integrates Deep Reinforcement Learning-guided DBSCAN (DRL-DBSCAN) clustering with a Graph Attention Network (GAT)-based Graph Neural Network to model spatial dependencies and temporal dynamics. Using meteorological features like temperature and humidity, the framework clusters geographical grids and applies GAT to capture spatial patterns. …”
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Spatial and temporal variabilities in land surface temperatures and near-surface air temperatures in an arid to semiarid urban region: implications for urban heat island research by Salahuddin M. Jaber, Raja Sengupta

“…We used global datasets and applied non-spatial and spatial analysis techniques in the Amman-Zarqa urban region, a typical arid to semiarid environment. …”
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A novel multi-criteria spatial analysis approach for evaluating development prospects of geothermal resources: A case-study from Guangdong Province, China by Yongyi Li, Ghaffar Ali, Lianhua Ma

“…An improved comprehensive weight method is utilized to calculate the Technique for Order of Preference by Similarity to Ideal Solution score, providing an assessment of the development prospects across 315 geothermal resources sites in Guangdong province. Furthermore, spatial distribution patterns and spatial correlations of geothermal resources development prospects are analyzed using GeoDa software through Exploratory spatial data analysis (ESDA). …”
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