Deep Learning Analysis of Gaza Settlements and Urban Sustainability
Title: Formal and informal settlements and corresponding demographic patterns in Gaza Strip: deep learning approach to urban sustainability
地理模拟 (Urban Simulation)
Optimizing 3D Urban Landscapes to Mitigate UHI Under SSPs
Title: Optimizing urban three-dimensional landscapes in potential development areas to mitigate urban heat island effect under shared socioeconomic pathways
CoCA: Spatial Cooperative Simulation of Land-Population-Economy in Urban Agglomerations
Title: CoCA: Spatial cooperative simulation and future prediction of “land-population-economy” in urban agglomerations
Temporal-VCA: Simulating urban land use change using coupled temporal data and VCA
Title: Temporal-VCA: Simulating urban land use change using coupled temporal data and vector cellular automata
Applicability and sensitivity analysis of vector cellular automata model for land cover change
Urbanization-induced land cover changes significantly impact ecological environments and socioeconomic growth. Vector-based cellular automata
Fine-grained regional economic forecasting for a megacity using vector-based cellular automata
Fine-grained regional economic forecasting for a megacity using vector-based cellular automata
Spatial cooperative simulation of land use-population-economy in the Greater Bay Area, China
Spatial cooperative simulation of land use-population-economy in the Greater Bay Area, China
Estimating the spatial variation of electricity consumpution
Title：Estimating the spatial variation of electricity consumputionAbstractEffective detection of abnormal electricity users and analysis of the spatia
耦合FLUS和Markov的快速发展城市土地利用空间格局模拟方法
标题：耦合FLUS和Markov的快速发展城市土地利用空间格局模拟方法Title：A Coupled FLUS and Markov Approach to Simulate the Spatial Pattern of Land Use in Rapidly Developing Cities摘要
VecLI: A framework for calculating vector landscape indices considering landscape fragmentation
HighlightsA new unifying computational framework for vector-based landscape indices is proposed.74.7% of the VecLI metrics are significantly different