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

“…This study produced high-resolution susceptibility maps identifying high-risk zones, revealing a distinct spatial pattern characterized by a concentration of hazards in mountainous areas such as Pingshan County, Junlian County, and Gong County, while plains exhibited a relatively lower risk. …”
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Spatial Distribution and Architecture of Acromyrmex landolti Forel (Hymenoptera, Formicidae) Nests in Pastures of Southwestern Bahia, Brazil by Milton Rodrigues da Silva Júnior, Maria Aparecida Castellani, Aldenise Alves Moreira, Michele Silva D'Esquivel, Luiz Carlos Forti, Sébastien Lacau

“…This paper aims to study the spatial distribution and the architectural pattern of A. landolti nests, as well as to establish the foundations for the improvement of strategies for controlling the pest. …”
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Spatial and Temporal Dynamics of Water Conservation in Xiangjiang River Basin Based on ANUSPLIN and InVEST Model by GUO Binbin, LIU Yuxin

“…Climate change and human activities have had a significant impact on water conservation within the basin, and an in-depth study of the spatial and temporal dynamics of water conservation within the basin is essential for understanding the pattern of change and developing corresponding management strategies. …”
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Evaluation of Socially and Culturally Coordinated Development in Cities of Yangtze River Economic Belt and Its Spatial Correlation by Zhenzhen Yi, Xianzhong Cao, Liuting Qin

“…The study found that the overall level of social and cultural coordination among the cities in the Yangtze River Economic Belt steadily improved; however, significant regional disparities still exist, particularly in areas such as social security and cultural integration. Spatially, a “high in the east, low in the west” pattern is observed, with the Yangtze River Delta city cluster leading development, the midstream cluster playing a supportive role, and the Chengdu–Chongqing city cluster showing significant internal disparities. …”
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Spatial and Temporal Dynamics of Water Conservation in Xiangjiang River Basin Based on ANUSPLIN and InVEST Model by GUO Binbin, LIU Yuxin

“…Climate change and human activities have had a significant impact on water conservation within the basin, and an in-depth study of the spatial and temporal dynamics of water conservation within the basin is essential for understanding the pattern of change and developing corresponding management strategies. …”
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Classification and spatial characteristics of different development stages in China: Evidence from the contribution rate of production factors. by Zijie Li, Xiangnan Liu, Lingfeng Xu, Qun Wu

“…The research findings help to understand the impact of varying production factors on economic development at a temporal and spatial scale and provide a scientific basis for achieving a high-quality development pattern of rational allocation of factors and regional coordinated development.…”
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RURAL REVITALIZATION THROUGH TOURISM: SPATIAL ANALYSIS OF NOHAKU ACCOMMODATION DISTRIBUTION AND PRICING IN YAMAGUCHI PREFECTURE, JAPAN by Wenting Zhou

“…The results offer a nuanced understanding of spatial patterns and pricing strategies, providing actionable insights for policymakers to optimise rural tourism development.…”
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Territorial impact of the COVID-19 pandemic in Galicia (Spain): a geographical approach by Ángel Miramontes Carballada, Jose Balsa-Barreiro

“…The authors of this study propose a multiscale analysis that allows deciphering the most common propagation patterns. For this, we have high spatial resolution data that has been provided by the competent authority under confidentiality. …”
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Territorial impact of the COVID-19 pandemic in Galicia (Spain): a geographical approach by Ángel Miramontes Carballada, Jose Balsa-Barreiro

“…The authors of this study propose a multiscale analysis that allows deciphering the most common propagation patterns. For this, we have high spatial resolution data that has been provided by the competent authority under confidentiality. …”
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The correlation between temperature and dengue haemorrhagic fever in Malang Regency – Indonesia: A spatial – temporal analysis by Ali Khaidar, Addin Rizaldi Muhammad, Bangun Sugiharto Septiono, Yuniarno Saudin, Fitria Widiyanto Agnes, Suratman Suratman, Lazuardi Lutfan

“…A significant correlation was found between temperature and dengue cases at lag 2-3 months (p<0.05). The spatial analysis also indicates that dengue fever cases in Malang Regency exhibit a clustered pattern, with the clusters predominantly located in urban areas. …”
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An exploration of the spatial and temporal factors influencing industrial park vitality using multi-source geospatial data by Xiao Ding, Fang Zheng, Guifen Lyu, Botao Feng

“…The findings reveal that the spatial distribution of real vitality and weekend vitality follows a polycentric clustering pattern, while weekday vitality exhibits a relatively uniform spatial distribution. …”
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Vectors, host range, and spatial distribution of Dirofilaria immitis and D. repens in Europe: a systematic review by Carolin Hattendorf, Renke Lühken

“…These data were used to analyse the range of potential vectors and hosts and for a comparison of the spatial distribution between the twentieth and twenty-first century. …”
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Modeling of digital spatial processing under conditions of troposphere propagation of centimeter radio waves for wireless telecommunication by Ilia W. Peshkov, Dmitry N. Borisov

“…A multipath fading effect may also occur when several rays reflected from different layers of the troposphere and having different spatial coordinates in elevation arrive at the receiver. …”
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The influence of spatial variability of solar radiation on the mass balance of glaciers in the Grønfjorden Bay area (the Svalbard archipelago) by A. V. Terekhov, U. V. Prokhorova, V. E. Demidov

“…We have found that both glaciers are distinctly divided into two parts, more and less sunlit. The spatial pattern of insolation of the Vøringbreen glacier is controlled by the shading of the walls surrounding the cirque, while the Aldegondabreen one due to its concave shape has two different areas with a more southern and more northern exposure. …”
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Measurement and Spatial Transfer of Blue Water Footprint in Urumqi-Changji-Shihezi Megalopolis——Based on MRIO Model by LYU Zhengyin, SUN Jianguang

“…To find a way to alleviate the pressure on water resources during the coordinated development of the Urumqi-Changji-Shihezi megalopolis,this paper calculated the blue water footprint in the megalopolis from the perspectives of production and consumption with a city-scale multi-region input-output (MRIO) model.The pattern of spatial transfer among the sectors of the region and between the region and the rest of the country was also measured.The results lead to the following conclusions:① In 2012,the blue water footprint of production in the Urumqi-Changji-Shihezi megalopolis was 3.383 billion m³,mainly due to the large production scale of the agriculture,forestry,animal husbandry,and fishery in Changji.In contrast,the blue water footprint of consumption was as high as 6.403 billion m³ because Urumqi and Shihezi imported a lot of blue water footprint in the primary industry (mainly from inside Xinjiang) and the tertiary industry (mainly from outside Xinjiang).② The self-sufficiency of the Urumqi-Changji-Shihezi megalopolis is limited.Nevertheless,the various sectors of each city are closely related to each other,and those in Shihezi are especially prominent in pulling the region's water consumption up to a high level.③ The Urumqi-Changji-Shihezi megalopolis has a net import of blue water footprint from within Xinjiang that is higher than its net export to outside Xinjiang.Specifically,Urumqi achieves a net import from both inside and outside Xinjiang and has a net export only in the sectors of petroleum,coking products,and processed nuclear fuel products.In contrast,Changji,presenting itself with a net export,and Shihezi,with a net import,rely on the inflow from the primary and tertiary industries within Xinjiang on the one hand and are burdened with the demand of major agricultural provinces outside Xinjiang and the developed provinces and cities in Southeast China for agricultural and livestock products and primary industrial products on the other hand.This research can thus provide a reference for the rational allocation of water resources in the Urumqi-Changji-Shihezi megalopolis and the strategic arrangement for foreign trade.…”
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Prediction of the spatial distribution of vine weevil under climate change using multiple variable selection methods by Ga-Young Kim, Wang-Hee Lee

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Spatiotemporal dynamics of visitors to Jeju Island: Hotspot and spatial autocorrelation analyses using mobile phone data. by Kwang-Sub Lee, Jin Ki Eom

“…This study used mobile phone data to examine the spatiotemporal patterns and preferences of domestic visitors to Jeju Island, South Korea and integrated hourly floating population data to examine visitor characteristics by season, day of the week, time of the day, and inflow regions; identified hotspots at the census block level; and involved spatial autocorrelation analysis. …”
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Deciphering ovarian cancer heterogeneity through spatial transcriptomics, single-cell profiling, and copy number variations. by Songyun Li, Zhuo Wang, Hsien-Da Huang

“…The communication networks between tumor cell clusters exhibited unique patterns associated with the meta-programs governing these clusters. …”
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SPATIAL ANALYSIS IN CONSERVATION SITU IN BANTEN PROVINCE: CASE STUDY OF SITU KADUPAYUNG, PANDEGLANG REGENCY, BANTEN by Isvan Taufik, Endang Sudrajat, Meysa Cahya Gemilang

“…Spatial planning analysis is a way to identify the location and area of a site based on spatial structure and spatial patterns. …”
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Assessing the spatial footprint of e-commerce logistics differentiating the types of warehouses: The case of Amazon in the United States by Matthieu Schorung, Thibault Lecourt, Laetitia Dablanc

“…With the empirical spatial analysis, we identify through cartographic representations several spatial logics of Amazon’s logistics system: (i) a dual spatial rationale of networking and concentration of logistics warehouses, with the development of clusters of warehouses around major transport infrastructures and the creation of a more or less fine network of warehouses, particularly in urban areas; (ii) a dual spatial rationale that focuses both on the outskirts of metropolitan areas and on dense urban centers; (iii) the emergence of regionalized logistics strategies and differentiated spatial patterns regarding the type of logistics facility. …”
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