Artikler med krav om offentlig adgang - Jinyao LinFå flere oplysninger
Ikke tilgængelige nogen steder: 16
Predicting future urban waterlogging-prone areas by coupling the maximum entropy and FLUS model
J Lin, P He, L Yang, X He, S Lu, D Liu
Sustainable Cities and Society 80, 103812, 2022
Krav: National Natural Science Foundation of China
Measuring the relationship between morphological spatial pattern of green space and urban heat island using machine learning methods
J Lin, S Qiu, X Tan, Y Zhuang
Building and Environment 228, 109910, 2023
Krav: National Natural Science Foundation of China
Investigating the influence of three-dimensional building configuration on urban pluvial flooding using random forest algorithm
J Lin, X He, S Lu, D Liu, P He
Environmental Research 196, 110438, 2021
Krav: National Natural Science Foundation of China
Analyzing the impact of three-dimensional building structure on CO2 emissions based on random forest regression
J Lin, S Lu, X He, F Wang
Energy 236, 121502, 2021
Krav: National Natural Science Foundation of China
Large-scale ecological red line planning in urban agglomerations using a semi-automatic intelligent zoning method
J Lin, X Li
Sustainable Cities and Society 46, 101410, 2019
Krav: National Natural Science Foundation of China
Modeling urban land-use changes using a landscape-driven patch-based cellular automaton (LP-CA)
J Lin, X Li, Y Wen, P He
Cities 132, 103906, 2023
Krav: National Natural Science Foundation of China
Exploring the connection between morphological characteristic of built-up areas and surface heat islands based on MSPA
J Lin, K Wei, Z Guan
Urban Climate 53, 101764, 2024
Krav: National Natural Science Foundation of China
A maximum entropy method to extract urban land by combining MODIS reflectance, MODIS NDVI, and DMSP-OLS data
J Lin, X Liu, K Li, X Li
International Journal of Remote Sensing 35 (18), 6708-6727, 2014
Krav: National Natural Science Foundation of China
Evaluating the association between morphological characteristics of urban land and pluvial floods using machine learning methods
J Lin, W Zhang, Y Wen, S Qiu
Sustainable Cities and Society 99, 104891, 2023
Krav: National Natural Science Foundation of China
What is the influence of landscape metric selection on the calibration of land-use/cover simulation models?
J Lin, X Li, S Li, Y Wen
Environmental Modelling & Software 129, 104719, 2020
Krav: National Natural Science Foundation of China
Analyzing the spatial factors related to the distributions of building heights in urban areas: A comparative case study in Guangzhou and Shenzhen
J Lin, H Wan, Y Cui
Sustainable Cities and Society 52, 101854, 2020
Krav: National Natural Science Foundation of China
Estimating potential illegal land development in conservation areas based on a presence-only model
J Lin, H Li, Y Zeng, X He, Y Zhuang, Y Liang, S Lu
Journal of Environmental Management 321, 115994, 2022
Krav: National Natural Science Foundation of China
Poverty estimation at the county level by combining LuoJia1-01 nighttime light data and points of interest
J Lin, S Luo, Y Huang
Geocarto International 37 (12), 3590-3606, 2022
Krav: National Natural Science Foundation of China
Investigating the land use characteristics of urban integration based on remote sensing data: experience from Guangzhou and Foshan
J Lin, W Wu
Geocarto International 34 (14), 1608-1620, 2019
Krav: National Natural Science Foundation of China
Knowledge transfer for large‐scale urban growth modeling based on formal concept analysis
J Lin, X Li
Transactions in GIS 20 (5), 684-700, 2016
Krav: National Natural Science Foundation of China
Analyzing spatial patterns and influencing factors of different illegal land use types within ecological spaces: A case study of a fast-growing city
H Li, Y Peng, M Li, Y Zhuang, X He, J Lin
Journal of Cleaner Production 424, 138883, 2023
Krav: National Natural Science Foundation of China
Tilgængelige et sted: 10
Conflict resolution in the zoning of eco-protected areas in fast-growing regions based on game theory
J Lin, X Li
Journal of Environmental Management 170, 177-185, 2016
Krav: National Natural Science Foundation of China
An assessment framework for improving protected areas based on morphological spatial pattern analysis and graph-based indicators
J Lin, C Huang, Y Wen, X Liu
Ecological Indicators 130, 108138, 2021
Krav: National Natural Science Foundation of China
Simulating urban growth in a metropolitan area based on weighted urban flows by using web search engine
J Lin, X Li
International Journal of Geographical Information Science 29 (10), 1721-1736, 2015
Krav: National Natural Science Foundation of China
Measuring inter-city connectivity in an urban agglomeration based on multi-source data
J Lin, Z Wu, X Li
International Journal of Geographical Information Science 33 (5), 1062-1081, 2019
Krav: National Natural Science Foundation of China
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