A decade of maize yield gap studies in sub-Saharan Africa: how are farm-level factors considered? by Ola Hall, Ibrahim Wahab, Sigrun Dahlin, Per Hillbur, Magnus Jirström, Ingrid Öborn

“…Case studies from Kenya and Ghana, utilizing field surveys, interviews, panel data, and spatial analysis, highlight how a multifaceted approach can enhance our understanding of the various elements influencing maize yield gaps in SSA.…”
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Analysis of Spatiotemporal Variation of NDVI in Pearl River Basin and Its Driving Force Based on Geodetector by WANG Ruiqing, JIANG Xiaohui, NIE Tong

“…On the basis of the yearly normalized difference vegetation index (NDVI) data from 2000 to 2015,climate,topography,vegetation,soil types,and socio-economic indicators are integrated to analyze the spatiotemporal variation characteristics and driving factors of NDVI in the Pearl River Basin with ArcGIS spatial analysis and geographical detectors (Geodetectors).The results indicate that ① NDVI in the Pearl River Basin shows phased growth in interannual variations from 2000 to 2015,and the overall average annual growth rate is 0.005 3,the medium-high vegetation coverage is greatly transformed into high vegetation coverage,which means the medium-highly and highly vegetated areas have complementary correspondence in spatiotemporal variations,and the average vegetation coverage is greatly improved.② The impact of human activities on the change in vegetation coverage in the Pearl River Basin is greater than that of natural factors.The intensity of human activities in the area reflected by the light intensity at night is the most important factor affecting vegetation changes,and the landform type is the main natural factor affecting vegetation coverage in the basin.On an annual scale,there is little correlation between the change in vegetation coverage and meteorological factors.③ The interaction between natural factors and socio-economic factors is mainly two-factor enhancement,and the two-factor enhancement of the landform type and light intensity at night makes a contribution of 58.9% to the q value;the nonlinear enhancement interaction is mainly between natural factors.By analyzing the range or type of various natural factors suitable for vegetation growth in the study area,this research provides a scientific basis for further promoting the soil and water conservation and ecological protection of the Pearl River Basin.…”
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Dynamics of urban green spaces in a megacity under the green economy framework and their influencing factors: a case study of Chongqing urban area by Jing Ge, Yinghong Shi

“…It not only contributes to economic growth and environmental sustainability but also significantly impacts the public health of urban residents.MethodsThis study utilized land use data from 2000 to 2021 in Chongqing, China, to investigate the characteristics and patterns of change in urban green space distribution. Spatial analysis methods were employed, and an econometric model was constructed to analyze the mechanisms of these changes, considering factors such as economic drivers, governmental regulation, and social dynamics.ResultsThe results reveal that urban green spaces in the Chongqing metropolitan area are primarily concentrated in the inner suburbs with limited distribution in central urban areas, exhibiting a distinct spatial gradient. …”
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Human Activities Increase the Nitrogen in Surface Water on the Eastern Loess Plateau by Yuxian Hu, Ke Zhang, Yuan Li, Yanan Sun, Hongyan Li, Gaiqiang Yang

“…This paper explored the spatial relationship between anthropogenic activity and waters’ nitrogen on the eastern Loess Plateau, based on the Geographic Information System (GIS) spatial analysis using land use covers. There were 3 human land use types and 2 nitrogen indices used to assess the rivers’ state at the watershed scale. …”
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Research on Spatio-Temporal Complexity Evolution and Influencing Factors of “Nongrain” in Guangxi by Chongzhen Tang, Yongyi Yi, Yani Kuang

“…Using statistical analysis and spatial analysis tools to explore the spatial and temporal distribution characteristics of “nongrain” cultivation trend in Guangxi, and through the geographically weighted regression model to analyze the factors affecting the degree of “nongrain” cultivation trend in Guangxi. …”
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SPATIOTEMPORAL VARIABILITY OF DROUGHT IN ROMANIA DURING 1901-2021 USING THE STANDARDIZED PRECIPITATION EVAPOTRANSPIRATION INDEX (SPEI) by Carmen Andreea BĂDĂLUȚĂ, Aritina HALIUC, Gheorghe BĂDĂLUȚĂ, Ramona Elena SCRIBAN

“…Also, the SPEI3's spatial analysis indicates that Romania's eastern and southeastern parts are becoming drier. …”
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Research on the Spatial Distribution Pattern and Influencing Factors of China’s Antipoverty (Pro-Poor Tourism) on GIS by Qing Yang, Fengtai Zhang, Youzhi An, Changcheng Sun, Jianfeng Wu, Yue Zhang, Zhen Wei

“…This paper aims to provide theoretical support for consolidating the results of poverty alleviation and achieving comprehensive poverty alleviation and to provide a scientific basis for policy formulation by using GIS spatial analysis to study the spatial distribution characteristics and influencing factors of 22,651 pro-poor tourism villages in China. …”
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Towards a methodology for the assessment of culture-derived spatial economic development: The case of visual artists in the United States by Alkistis Dalkavouki

“…It will depend on exploratory spatial analysis and the concept of the “artistic dividend”, a method of more directly measuring artists’ contributions to their local economies by counting their numbers and aggregating their income. …”
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Evaluating solar power plant sites using integrated GIS and MCDM methods: a case study in Kermanshah Province by Iman Zandi, Aynaz Lotfata

“…The study highlights the substantial impact of selecting appropriate spatial analysis techniques and uses normalization to standardize input criteria with varied units and ranges, enhancing comparability within the MCDM process. …”
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Description and Dynamic Analyses of the 1935 Luchedu Rock Avalanche in Sichuan, China by Jie Cui, Chunyu Gao, Zhilong Zhang, Guifu Xiang

“…Through a detailed geological survey and DEM spatial analysis, the avalanche entrainment rate of LRA was determined as 1.2. …”
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A Pandemia de Covid-19 no Brasil : a pobreza e a vulnerabilidade social como determinantes sociais by Simone Affonso da Silva

“…Through bibliographic and documentary analysis and spatial analysis, we examined: (i) the general picture of pre-existing socio-spatial inequalities, (ii) the diagnoses related to the dynamics of the Covid-19 pandemic, (iii) the set of measures adopted by the Brazilian State; and (iv) the issue of government planning, its potential, limits and challenges in the current situation of the Covid-19 pandemic. …”
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Spatial autocorrelation analysis of non-communicable diseases: Unveiling hidden patterns and hotspots of hypertension in the Yogyakarta Special Region by Lusiana Vivi, Arif Fahrudin Alfana Muhammad

“…This study emphasizes the application of novel spatial analysis in public health surveillance in Indonesia, underscoring the effectiveness of spatial autocorrelation techniques in identifying high-risk areas, and as an important step in developing public health strategies and policies.…”
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Modeling of spatio-temporal of albedo over Iran by Zahra Hejazizadeh, Meysam Toulabi Nejad, Alireza Rahimi, nasrin bazmi, Atefeh Bosak

“…This study was conducted using simultaneous effects of several components, such as wetness of surface layer of soil, cloudiness, topography and vegetation density (NDVI), using MEERA2 model with a resolution of 50 in 50 km during 2000-2010 in Iran. The results of spatial analysis of albedo values in Iran showed that the highest value is in 44 to 45 degrees of east longitude about 2.8 to 3.3 and the lowest value of albedo is also in 52 to 53 degrees of east longitude, that is, the eastern slopes of the Zagros Mountains, have been recorded at 1 to 1.5 units. …”
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Hydrological Drought Analysis using Streamflow Drought Index (SDI) in Ethiopia by Kassa Abera Tareke, Admasu Gebeyehu Awoke

“…The 1980s were found severe and extreme drought years in which most hydrological drought events occurred in the country. The spatial analysis shows that Tekeze, Abbay, and Baro river basins have similar characters; Awash and Rift Valley River basins show relatively the same character, and Genale Dawa and Wabishebele river basins have a similar character. …”
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Spatial Intelligence in E-Commerce: Integrating Mobile Agents with GISs for a Dynamic Recommendation System by Mohamed Shili, Salah Hammedi, Mahmoud Elkhodr

“…The evolving capabilities of Geographic Information Systems (GISs) are transforming various industries, including e-commerce, by providing enhanced spatial analysis and precision in customer targeting, and improving the ability of recommender systems. …”
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Políticas Territoriais e Mobilidade Populacional na Amazônia: contribuições sobre a área de influência das Hidrelétricas no Rio Madeira (Rondônia/Brasil) by Maria Madalena de A. Cavalcante, Dorisvalder Dia Nunes, Ricardo Gilson da Costa Silva, Luiz Cleyton Holanda Lobato

“…The methodology consists of the time-spatial analysis with literature review, fieldwork and geographic data collection in the area. …”
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A Review of Multi-Source Data Fusion and Analysis Algorithms in Smart City Construction: Facilitating Real Estate Management and Urban Optimization by Binglin Liu, Qian Li, Zhihua Zheng, Yanjia Huang, Shuguang Deng, Qiongxiu Huang, Weijiang Liu

“…Data analysis algorithms help urban management in areas such as spatial analysis and deep learning. Algorithm collaboration can improve decision-making accuracy and efficiency and promote the rational allocation of urban resources. …”
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Analysis and Optimization of the Spatial Patterns of Commercial Service Facilities Based on Multisource Spatiotemporal Data and Graph Neural Networks: A Case Study of Beijing, Chin... by Yihang Xiao, Cunzhi Li, Zhiwu Zhou, Dongyang Hou, Xiaoguang Zhou

“…This paper utilizes multisource spatiotemporal data, employing geographic spatial analysis methods and graph neural network models to explore the spatial structure of commercial service facilities in Beijing and their relationships with population density and land use, thereby achieving a detailed classification of the commercial service patterns at the natural neighborhood scale. …”
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Transovarial infection in Aedes Aegypti: Correlational study on incidence of dengue hemorrhagic fever (DHF) at endemic area of Semarang city, Indonesia by Bela Novita Irneta, Martini Martini, Hadi Mochamad, Udiyono Ari, Yuliawati Sri, Hestiningsih Retno

“…The aim of this study was to analyze the correlation of larval density and transovarial in Aedes aegypti with the occurrence of DHF using a spatial analysis approach. The study was correlational design, located in 11 sub villages in Meteseh village of Semarang City. …”
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Exploration of Flood Prediction in Watersheds Based on the Fusion Analysis of Remote Sensing Big Data with Multiple Physical Fields by Minming Xu, Yun Ouyang

“…This paper introduces the application of remote sensing in flood control field, proposes the framework of basin flood prediction based on multiphysics field remote sensing big data fusion analysis, and designs each functional module of the system according to the object-oriented idea to realize the functions of data management, image processing, spatial analysis, and simulation output. The method can change the problems of cumbersome data processing and basic parameter rate determination in traditional hydrological methods and can find certain regularity through the connection between all related factors. …”
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