Spatial scale and geographic context in benthic habitat map**: review and future directions
Understanding the effects of scale is essential to the understanding of natural ecosystems,
particularly in marine environments where sampling is more limited and sporadic than in …
particularly in marine environments where sampling is more limited and sporadic than in …
Identifying the impacts of natural and human factors on ecosystem service in the Yangtze and Yellow River Basins
Abstract The Yangtze River Basin (YZRB) and Yellow River Basin (YRB) are important
ecological regions in China. In recent decades, intense climate change and human activities …
ecological regions in China. In recent decades, intense climate change and human activities …
An optimal parameters-based geographical detector model enhances geographic characteristics of explanatory variables for spatial heterogeneity analysis: Cases …
Spatial heterogeneity represents a general characteristic of the inequitable distributions of
spatial issues. The spatial stratified heterogeneity analysis investigates the heterogeneity …
spatial issues. The spatial stratified heterogeneity analysis investigates the heterogeneity …
[PDF][PDF] Spatial heterogeneity in stated preference valuation: Status, challenges and road ahead
This paper reviews the progress made over the past few years in evaluating and controlling
for spatial heterogeneity in stated preference valuation, focussing on applications to …
for spatial heterogeneity in stated preference valuation, focussing on applications to …
A modelling approach with geographically weighted regression methods for determining geographic variation and influencing factors in housing price: A case in …
Determining real estate market dynamics has become an important issue in the city
economy for achieving sustainable urban land management and investment planning. This …
economy for achieving sustainable urban land management and investment planning. This …
Understanding place characteristics in geographic contexts through graph convolutional neural networks
Inferring the unknown properties of a place relies on both its observed attributes and the
characteristics of the places to which it is connected. Because place characteristics are …
characteristics of the places to which it is connected. Because place characteristics are …
The GWmodel R package: further topics for exploring spatial heterogeneity using geographically weighted models
In this study, we present a collection of local models, termed geographically weighted (GW)
models, which can be found within the GWmodel R package. A GW model suits situations …
models, which can be found within the GWmodel R package. A GW model suits situations …
Spatial effects of accessibility to parks on housing prices in Shenzhen, China
Accessibility to parks could be an important determinant of housing prices. This article
applies the gravity model to calculate accessibility based on park classification in Shenzhen …
applies the gravity model to calculate accessibility based on park classification in Shenzhen …
The impacts of landscape patterns spatio-temporal changes on land surface temperature from a multi-scale perspective: A case study of the Yangtze River Delta
Unordered and speedy urbanization is the foremost cause of land surface temperature (LST)
rise in an urban area. Understanding the effects of landscape changes on LST is crucial for …
rise in an urban area. Understanding the effects of landscape changes on LST is crucial for …
Discovering the spatio-temporal impacts of built environment on metro ridership using smart card data
E Chen, Z Ye, C Wang, W Zhang - Cities, 2019 - Elsevier
The primary objective of this study is to identify the spatio-temporal relationship between
metro ridership and built environment by integrating smart card data with online point of …
metro ridership and built environment by integrating smart card data with online point of …