Spatial and Temporal Dynamics of Territorial Spatial Conflicts and Construction Land Expansion in Guizhou Province: A 40-Year Perspective by Huaiyu Wang, Liu Yang, Hongzan Jiao

“…At the same time, the territorial spatial conflict indicator (SCII) was constructed to study the TSCs in Guizhou Province, and its evolution pattern was explored through the cold hotspot analysis. …”
Get full text

The spatiotemporal evolution and prediction of vegetation NPP in the Huangshui River Basin of Qilian Mountains by Sujing Ding, Qiang Sun, Yan Guo, Xiao Wei

“…Subsequently, it endeavoured to elucidate the spatiotemporal evolution patterns and influencing factors of vegetation NPP within the HRB over the years. …”
Get full text

Spatially distributed gradient-based calibration and parametric sensitivity of a spatialized hydrological model over 235 French catchments by Pierre-André Garambois, François Colleoni, Ngo Nghi Truyen Huynh, Ahmad Akhtari, Ngoc Bao Nguyen, Apolline El-Baz, Maxime Jay-Allemand, Pierre Javelle

“…The study delivers a robust national performance benchmark, highlighting spatial patterns in model skill and parameter behavior, and provides valuable insights for regional hydrological studies and flood forecasting efforts across France.…”
Get full text

Evaluating the Spatial Relationships Between Tree Cover and Regional Temperature and Precipitation of the Yucatán Peninsula Applying Spatial Autoregressive Models by Mayra Vázquez-Luna, Edward A. Ellis, María Angélica Navarro-Martínez, Carlos Roberto Cerdán-Cabrera, Gustavo Celestino Ortiz-Ceballos

“…We applied local indicators of spatial association (LISA) cluster analysis and spatial autoregressive models (SAR) to evaluate the spatial relationships between tree cover and regional temperature and precipitation. …”
Get full text

Response of Soil and Water Conservation Ecosystem Service Value to Land Use Type at Anjiagou Watershed in Dingxi City by Ma Haixia, Zhang Bailin, Zhang Wenxiang, Chang Junxia, Li Xuchun

“…[Objective] The ecosystem service value of different land use types at Anjiagou watershed in Dingxi City, Gansu Province was quantitatively determined in hilly and gully regions of the Yellow River basin from 2005 to 2020, and the temporal and spatial variation patterns were studied in order to provide a scientific reference for optimizing land use structure and sustainable utilization of land resources in this area. …”
Get full text

Evaluation of Habitat Quality in Karst Mountainous Areas of Guanling County Based on InVEST and MGWR Models by Shuanglong Du, Zhongfa Zhou, Denghong Huang, Fei Dong, Xiandan Du, Yining Luo, Qingqing Dai, Yue Yang

“…This study integrates the InVEST model, landscape pattern index analysis, and the MGWR spatial model to systematically explore the dynamic mechanisms of habitat quality in Guanling’s karst mountains. …”
Get full text

Moisture Recycling in the Colombian Andes by J. M. Bedoya‐Soto, G. Poveda

Get full text

Contribution of Suburban Land Use Landscape Characteristics to Urban Heat Island Intensity at Varying Gradients in Shenyang by Jiaxing Xin, Ying Cui, Jun Yang, Jiayi Ren, Wenbo Yu, Xiangming Xiao, Jianhong Xia

“…To address this research gap and explore spatial characteristics, we analyzed the driving mechanism of suburban land use patterns on UHI intensity (UHII) within the main urban area of Shenyang City based on high spatial resolution raster data, such as Landsat remote sensing images and land use, combined with extreme gradient boosting and SHapley Additive exPlanations models. …”
Get full text

Spatiotemporal effects of landscape structure on the trade-offs and synergies among ecosystem service functions in Yangtze River Economic Belt, China by Yao Yao, Yuanyuan Yang

“…The trade-off coordination effects among the ESF generally transitioned from trade-offs to synergies, with the CS–FS change more pronounced, shifting from weak trade-offs (− 0.29) to synergies (0.20). Significant spatial variations were also observed. Most landscape pattern significantly impact the relationships among ESF. …”
Get full text

Emergence of shield immunity during spatial contagions by Christina M. Jamerlan, Mikhail Prokopenko

“…Abstract Contagions spreading across space—including epidemics, infodemics, and socio-economic turbulence — generate complex geo-spatial patterns shaped by contagion state and risk-driven population mobility. …”
Get full text

Spatial and temporal stationarity of the Laptev Sea polynyas by A. B. Timofeeva, A. V. Rubchenia, R. I. May

“…The seasonal variations of the polynyas show a distinct pattern: in the first half of the season, the polynyas in the western part of the sea are typically open and wide. …”
Get full text

Lateralization of Spatial Relation Processing in Natural Scenes by Ineke J. M. van der Ham, Martine J. E. van Zandvoort, Albert Postma

“…In addition, all participants performed a low-level spatial relation processing task. The results suggest that the lateralization pattern commonly found for spatial relation processing in low-level perceptual tasks is also applicable to the processing of complex visual scenes.…”
Get full text

The spatiality and driving forces of population ageing in China. by Lianxia Wu, Zuyu Huang, Zehan Pan

“…Using 2000 and 2010 census data, this study explores the degree, pace, and pattern of population ageing and its driving mechanism using exploratory spatial data analysis and the geographically weighed regression model. …”
Get full text

Fast generation of high-dimensional spatial extremes by Hans Van de Vyver

“…Using high-resolution gridded precipitation and temperature datasets, we show that the new algorithm produces realistic spatial patterns, and is particularly attractive compared to other existing methods for spatial extremes. …”
Get full text

Understanding spatial heterogeneity of hidden hunger in Senegal by Wim Marivoet, John M. Ulimwengu, Leysa Maty Sall, Cheickh Sadibou Fall

“…Using household consumption data collected in 2017/18, this paper analyzes patterns of urban and rural food consumption in Senegal. …”
Get full text

Modeling spatial interaction networks of the gut microbiota by Xiaocang Cao, Ang Dong, Guangbo Kang, Xiaoli Wang, Liyun Duan, Huixing Hou, Tianming Zhao, Shuang Wu, Xinjuan Liu, He Huang, Rongling Wu

“…The lack of dynamic or perturbed abundance data poses considerable challenges for characterizing the spatial pattern of microbial interactions. We integrate allometric scaling theory, evolutionary game theory, and prey-predator theory into a unified framework under which quasi-dynamic microbial networks can be inferred from static abundance data. …”
Get full text

Visualising Spatial Dispersion in Cultural Heritage Data by Laya Targa, Esperanza Villuendas, Cristina Portalés, Jorge Sebastián

“…This research provides valuable methodological experiences and insights for researchers and GLAM institutions working with cultural heritage datasets. By enhancing spatial dispersion visualisation, this work contributes to understanding cultural circulations and historical patterns. …”
Get full text

Spatial analysis of speculation in the US housing market by Salaheddin Manochehri, Ramin Amani, Jamal Mamkhezri

“…Employing advanced analytical techniques, including nonlinear least squares and time-varying parameter ordinary least squares, we delve into the spatial patterns of speculation within the housing market. …”
Get full text

Exploiting Spatial and Temporal for Point of Interest Recommendation by Jinpeng Chen, Wen Zhang, Pei Zhang, Pinguang Ying, Kun Niu, Ming Zou

“…Meanwhile, user-generated content in online LBSNs like spatial, temporal, and social information provides an ever-increasing chance to study the human behavior movement from their spatiotemporal mobility patterns and spawns a large number of location-based applications. …”
Get full text

Resolving the confusions on the complete spatial randomness of species by Youhua Chen, Yongbin Wu, Tsung-Jen Shen

“…Our ecology-oriented discussion aims to clarify the conceptual confusion surrounding CSR and establish a coherent link to foundational knowledge in spatial ecology. Ultimately, we hope to deepen ecologists’ and biologists’ understandings of species distribution patterns and support future developments of distributional ecology.…”
Get full text