Geographically Weighted Random Forest Based on Spatial Factor Optimization for the Assessment of Landslide Susceptibility by Feifan Lu, Guifang Zhang, Tonghao Wang, Yumeng Ye, Qinghao Zhao

Get full text

Comparing AI versus optimization workflows for simulation-based inference of spatial-stochastic systems by Michael Alexander Ramirez Sierra, Thomas R Sokolowski

“…In this study, we contrast two such inference workflows and apply them to biophysically inspired spatial-stochastic models. Technically, both workflows employ simulation-based inference (SBI) methods: the first leverages a modern deep-learning technique known as sequential neural posterior estimation, while the second relies on a classical optimization technique called simulated annealing. …”
Get full text

Study on the scale dependence of the spatial distribution pattern of ecosystem service value - a case study of Gangu County, China by Yingying Wu, Xuelu Liu, Qiqi Zhao, Hongyan Liu, Fei Qu, Miaomiao Zhang

“…Abstract This article aims to screen out the critical and optimal scales of the total value and spatial differentiation of ecosystem service value (ESV) to improve the accuracy and reliability of the ESV assessment results. …”
Get full text

Spatial Characteristics and Influencing Factors of Human Settlement Environment in the Kuye River Basin by Zhonghua ZHANG, Hao WU

“…The primary factors influencing spatial differentiation in the quality of human settlement environment are analyzed based on results obtained from both single-factor detection and interactive detection methods.ResultsThe spatial differentiation in the quality of human settlement environment in the Kuye River Basin is characterized by “local core agglomeration, and descending in all directions along the main river channel”, and the potential of optimizing the quality of human settlement environment in each sub-basin is very different. …”
Get full text

Exploring the Spatial Distribution of Toponyms and Its Correlation with Landscape Characteristics: A Case Study in Wuhan, China by Zihang Zhou, Bidan Yin, Menglin Huang, Xianjie Pan, Diechuan Yang

“…This study analyzes 3638 toponyms in Wuhan as the research objects, utilizing geospatial analysis methods, including kernel density analysis, standard deviation ellipse analysis, and average nearest neighbor analysis, to visualize the spatial distribution of Wuhan’s TCL. It further combines these methods with the optimal parameter geographic detector (OPGD) model to explore the influence of landscape elements on the spatial distribution of different types of toponyms and their interaction effects. …”
Get full text

Effect of spatial differentiation of plant communities on PM2.5 and O3 in urban green spaces in Beijing, China by Jianbin Pan, Shuyu Chen, Nuo Xu, Meijing Cheng, Xian Wang, Jingwen Lan, Rui Wang, Yajie Wang

Get full text

A State-of-the-Art Fractional Order-Driven Differential Evolution for Wind Farm Layout Optimization by Sichen Tao, Sicheng Liu, Ruihan Zhao, Yifei Yang, Hiroyoshi Todo, Haichuan Yang

“…The wind farm layout optimization problem (WFLOP) aims to maximize wind energy utilization efficiency and mitigate energy losses caused by wake effects by optimizing the spatial layout of wind turbines. …”
Get full text

Optimal feedback stabilization of fractional output in semilinear distributed systems by Marouane Karim, Issam Khaloufi, Imane Dehaj, Rachik Mostafa

Get full text

Identifying the Spatial Range of the Pearl River Delta Urban Agglomeration from a Differentiated Perspective of Population Distribution and Population Mobility by Yongwang Cao, Qingpu Li, Zaigao Yang

“…Accurate identification of urban agglomeration spatial range is essential for scientific regional planning, optimal resource allocation, and sustainable development, forming the basis for regional development policy. …”
Get full text

Research on the spatial divergence characteristics and multi-scale influence of innovative industries and housing prices–the case of knowledge-intensive service industries in Guang... by Luhui Qi, Fu Wan, Yan Li, Xiaomei Pang

“…This paper employs Spearman’s correlation analysis, Hedonic Price Model (HPM), Geographically Weighted Regression (GWR) and Optimal Parameters-based Geographical Detector (OPGD) to analyze the impact of Guangzhou’s knowledge-intensive industries on surrounding housing prices and spatial differentiation effects from multiple scales. …”
Get full text

A multimodal deep learning model with differential evolution-based optimized features for classification of power quality disturbances by Md Nurul Islam

“…Fourier transform and wavelet transform are the signal processing tools used to extract wide range of frequency and time-domain features of the anomalies of the disturbance signals before being processed by the deep learning model. Differential evolution is used as an optimization tool to select the most relevant features and reduce the computational time. …”
Get full text

Spatial pattern and heterogeneity of green view index in mountainous cities: a case study of Yuzhong district, Chongqing, China by Aiping Gou, Xuyuan Wang, Jiangbo Wang, Chenjie Wang, Guanzheng Tan

“…This study investigates the spatial heterogeneity of the GVI and its influencing factors in Yuzhong District, Chongqing, a mountainous city in China. …”
Get full text

Differentiation characteristics and evolutionary mechanisms of agricultural regional functions in Loess Hilly and Gully Region by LONG Pei, WANG Yongsheng, LU Xue

“…[Objective] Agricultural regional functions are the core characteristic of regional agricultural systems, and their optimization and regulation are crucial for overcoming the bottlenecks in high-quality agricultural and rural development under resource and environmental constraints. …”
Get full text

Spatiotemporal differences and influencing factors of the dietary structure index in Chinese urban residents by Tianyang Chen, Zheng Guo, Zheng Guo, Sophia Shuang Chen, Sophia Shuang Chen, Giri Raj Kattel, Giri Raj Kattel, Giri Raj Kattel, Shimou Yao

“…The spatial agglomeration of the comprehensive DSI and the animal-based DSI are significantly higher than the plant-based DSI. …”
Get full text

Research for the Positioning Optimization for Portable Field Terrain Mapping Equipment Based on the Adaptive Unscented Kalman Filter Algorithm by Jiaxing Xie, Zhenbang Yu, Gaotian Liang, Xianbing Fu, Peng Gao, Huili Yin, Daozong Sun, Weixing Wang, Yueju Xue, Jiyuan Shen, Jun Li

Get full text

Spatial Differentiation of Ecological Environment Quality and the Influencing Factors in Cities Within the Beijing–Tianjin–Hebei Region Based on LCZ and RSEI by Chaoguang Zhang, Zheng Wang, Jinze Wang, Xiaoying Ding, Yifei Peng

Get full text

Research on the Coordination Relationship and Zoning Optimization of Territorial Spatial Functions in Southern Karst Regions Based on a Multi-Scale Fusion Model by Ting Feng, Xiaodong Yu, Yan Zhou, Renling Dong, Dong Wu, Meilin Zhang

“…Based on this, precise and differentiated optimization suggestions are proposed to promote orderly utilization and sustainable development of TS.…”
Get full text

Inversion of permeability coefficient based on adaptive differential hybrid butterfly particle algorithm by Zhao YANG, Donglin DONG, Yuqi CHEN, Rong WANG

Get full text

Multi-Dimensional Characteristics and Zoning Optimization of the Spatial Pattern of Specialized Villages in China: A Large Sample Analysis Based on the Supply–Demand Coupling by Jiangjiang Xie, Yang Rui, Kejing Liu, Weihong Sun

“…Finally, the paper integrates the spatial analysis results of both supply and demand to propose an optimized layout strategy for specialized villages at the county level. …”
Get full text

Solar and Wind 24 H Sequenced Prediction Using L-Transform Component and Deep LSTM Learning in Representation of Spatial Pattern Correlation by Ladislav Zjavka

“…This hybrid approach is based on the optimal determination of partial differential equations (PDEs) composed at the nodes of gradually expanded binomial trees. …”
Get full text