Spatial Prediction of Soil Texture in Low-Relief Agricultural Areas Using Rice and Wheat Growth Information with Spatiotemporal Stability by Fei Wang, Peiyu Zhang, Shaomei Chen, Tianyun Shao, Wenhao Lu, Zihan Fang, Changda Zhu, Feng Liu, Jianjun Pan

“…Similar results were obtained for sand content prediction. These results suggest that SSP can serve as an effective environmental variable for predicting soil texture spatial variation in low-relief agricultural areas.…”
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Dynamic response of soil water to rainfall for different runoff plots on a karst hillslope by Lei Chen, Keli Zhang, Guopeng Wang

“…In runoff plots, the temporal and spatial variations of soil water content across soil profiles are significantly affected by rainfall characteristics and land uses. …”
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Spatial Planning and Design for Resilience by Wei Dai

“…Five major research contents are conducted. First of all, literatures on exploring the physical context, the crucial stages of spatial transformation, as well as spatial planning and design practices of the PRD are reviewed. …”
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Content oriented 3D-CNN sequence learning architecture for academic activities recognition using a realistic CAD dataset by Muhammad Wasim, Imran Ahmed, Naveed Abbas, Tanzila Saba, Faten S. Alamri, Alex Elyassih, Amjad Rehman

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Surface Soil Moisture Estimation Taking into Account the Land Use and Fractional Vegetation Cover by Multi-Source Remote Sensing by Rencai Lin, Xiaohua Xu, Xiuping Zhang, Zhenning Hu, Guobin Wang, Yanping Shi, Xinyu Zhao, Honghui Sang

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Multi-scale remote sensing for sustainable citrus farming: Predicting canopy nitrogen content using UAV-satellite data fusion by Dagan Avioz, Raphael Linker, Eran Raveh, Shahar Baram, Tarin Paz-Kagan

“…However, integrating these platforms poses challenges due to significant differences in spatial, temporal, and spectral resolution. This study presents a novel approach incorporating multispectral and temporal data from UAVs and Sentinel-2 satellites to estimate canopy N content (CNC) in citrus orchards. …”
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Chasing intermediate hosts of Echinococcus multilocularis at the southern edge of its European distribution using red fox stomach content analysis by Cafiero Salvatore Andrea, Cenni Lucia, Rossi Chiara, Pascoe Emily Louise, Obber Federica, Da Rold Graziana, Citterio Carlo Vittorio, Casulli Adriano, Hauffe Heidi Christine, Massolo Alessandro

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Assessment of Potential Location of High Arsenic Contamination Using Fuzzy Overlay and Spatial Anisotropy Approach in Iron Mine Surrounding Area by Thanes Weerasiri, Wanpen Wirojanagud, Thares Srisatit

“…Interpolation surface of the analysed arsenic content using spatial anisotropic would verify the potential arsenic contamination location obtained from fuzzy overlay outputs. …”
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Spatial estimation of large-scale soil salinity using enhanced inverse distance weighting method and identifying its driving factors by Yannan Liu, Yingzhi Qian, Yan Zhu, Wanli Xu, Guanghui Wei, Jiesheng Huang, Yuhao Qiao, Qianxi Ma

“…However, the understanding of soil salinity variation remains limited due to challenges in using conventional spatial interpolation methods with the highly variable soil salinity data in regional scales. …”
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Spatial Zoning Based on Spatial and Temporal Soil Heavy Metal Changes in Geological High Background Areas by Zhiheng Qin, Li Li, Xiuqin Wu

“…Soil heavy metal content varies greatly in areas with high geological background, and the commonly used spatial interpolation analysis methods have low accuracy. …”
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Bolstering spatial learning in the primary classroom: identifying the factors underlying primary teachers’ spatial pedagogical practices by Kelsey Rocha, Catherine M. Lussier, Kinnari Atit

“…Results revealed primary teachers’ spatial skills were positively associated with their spatial habits of mind and their preference for using spatial strategies for teaching science content. …”
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Nondestructive estimation of leaf chlorophyll content in banana based on unmanned aerial vehicle hyperspectral images using image feature combination methods by Weiping Kong, Weiping Kong, Lingling Ma, Huichun Ye, Huichun Ye, Jingjing Wang, Chaojia Nie, Binbin Chen, Xianfeng Zhou, Wenjiang Huang, Zikun Fan

“…IntroductionNondestructive quantification of leaf chlorophyll content (LCC) of banana and its spatial distribution across growth stages from remotely sensed data provide an effective avenue to diagnose nutritional deficiency and guide management practices. …”
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ED-SA-ConvLSTM: A Novel Spatiotemporal Prediction Model and Its Application in Ionospheric TEC Prediction by Yalan Li, Haiming Deng, Jian Xiao, Bin Li, Tao Han, Jianquan Huang, Haijun Liu

“…It can effectively capture long-range spatial dependencies using SA-ConvLSTM and achieve unequal input-output lengths through encoder–decoder structure. …”
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Improving Winter Wheat Yield Estimation Under Saline Stress by Integrating Sentinel-2 and Soil Salt Content Using Random Forest by Chuang Lu, Maowei Yang, Shiwei Dong, Yu Liu, Yinkun Li, Yuchun Pan

“…This study proposed a method integrating Sentinel-2 data and field-measured soil salt content (SC) using a random forest (RF) method to improve yield estimation of winter wheat in Kenli County, a typical saline area in China’s Yellow River Delta. …”
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Predictive and spatial analysis for estimating the impact of sociodemographic factors on contraceptive use among women living with HIV/AIDS (WLWHA) in Kenya: Implications for polic... by Menkeoma Laura Okoli, Samuel Alao, Somtochukwu Ojukwu, Nnadozie C Emechebe, Asuelimen Ikhuoria, Kevin E Kip

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Rural tourism: the content, features and types by Yuriy Onoyko

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Rural tourism: the content, features and types by Yuriy Onoyko

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Estimation of Soil Organic Carbon Content of Grassland in West Songnen Plain Using Machine Learning Algorithms and Sentinel-1/2 Data by Haoming Li, Jingyao Xia, Yadi Yang, Yansu Bo, Xiaoyan Li

“…Nine experiments were conducted under three variable scenarios to select the optimal model. We used this optimal model to achieve high-precision predictions of SOC content. …”
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Concept of soil temperature coefficient for determining spatial distribution of soil temperature, using physiographic parameters of the basin and artificial neural network (ANN) by Edyta Kruk, Magdalena Malec, Sławomir Klatka, Andżelika Brodzińska-Cygan

“…Parameters were generated using DEM of 5m spatial resolution and soil maps, using the ArcGIS program. …”
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Comparative analysis of soil organic carbon across different land types in plateau wetlands using Kriging interpolation based on spatial heterogeneity. by Ximei Wen, Wenmin Luo, Xiuyuan Yang, Fupeng Li, Zhenming Zhang

“…In this study, we focused on Caohai Wetland in Guizhou Province, China, a typical plateau freshwater wetland, to evaluate the spatial variability of SOC across five land use types. …”
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