Spatial Nonstationarity and Autoregressive Models
Bibliographic Data
| ID | 4140682 |
|---|---|
| Authors | C Brunsdon (0000-0003-4254-1780, Department of Town and Country Planning, University of Newcastle, Newcastle upon Tyne NE1 7RU, England, corresponding author), A Stewart Fotheringham (0000-0002-0407-1901, Newcastle University, corresponding author), Martin Charlton (0000-0002-0622-393X, Newcastle University, corresponding author) |
| Year | 1998 |
| Volume | 30 |
| Issue | 6 |
| Pages | 957-973 |
| Publication date | 1998-06-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environment and Planning A Economy and Space (JOURNAL) |
| Journal identifiers | ISSN: 0308-518X • E-ISSN: 1472-3409 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1068/a300957 |
| OpenAlex | W2067508524 |
| Language | EN |
| Citations received | 25 |
| References cited | 17 |
Until relatively recently, the emphasis of spatial analysis was on the investigation of global models and global processes. Recent research, however, has tended to explore exceptions to general processes, and techniques have been developed which have as their focus the investigation of spatial variations in local relationships. One of these techniques, known as geographically weighted regression (GWR), developed by the authors is used here to investigate spatial variations in spatial association. The particular framework in which spatial association is examined here is the spatial autoregressive model of Ord, although the technique can easily be applied to any form of spatial autocorrelation measurement. The conceptual and theoretical foundations of GWR applied to the Ord model are followed by an empirical example which uses data on owner-occupation in the housing market of Tyne and Wear in northeast England where the problems of relying on global models of spatial association are demonstrated. This empirical investigation of spatial variations in spatial autocorrelation prompts a further discussion of several issues concerning the statistical technique
Autocorrelation · Autoregressive model · Data mining · Econometrics · Geography · Spatial analysis · Spatial dependence · Spatial ecology · Spatial econometrics · Spatial variability · Statistics · Computer Science · Housing Market and Economics · Mathematics · Psychology · Regional Economics and Spatial Analysis · Spatial and Panel Data Analysis
The impact of wind farms on property values
Some Notes on Parametric Significance Tests for Geographically Weighted Regression
Spatial variation in determinants of agricultural land abandonment in Europe
A Combination of Geographically Weighted Regression, Particle Swarm Optimization and Support Vector Machine for Landslide Susceptibility Mapping
Mental Health and Recreation Opportunities
Local Geographic Variation of Public Services Inequality
Rural–Urban Differences in Non-Local Primary Care Utilization among People with Osteoarthritis
Spatial Relationship Quantification between Environmental, Socioeconomic and Health Data at Different Geographic Levels
Capturing Spatial Non-Stationarity in Agricultural Land Sustainability
Local–Linear Two-Stage Estimation of Local Autoregressive Geographically and Temporally Weighted Regression Model
Spatial hedonic analysis to support tourism-sensitive tsunami mitigation planning
A Route Map for Successful Applications of Geographically Weighted Regression
Exploring Heterogeneities with Geographically Weighted Quantile Regression
Backfitting Estimation for Geographically Weighted Regression Models with Spatial Autocorrelation in the Response
A spatial autoregressive geographically weighted quantile regression to explore housing rent determinants in Amsterdam and Warsaw
Testing the hypothesis of stability in spatial econometric models
Winners and losers of rapid growth in Turkey
Robust Geographically Weighted Regression
Galax
The Local Voter
A General Framework for Estimation and Inference of Geographically Weighted Regression Models
Does devolution crowd out development? A spatial analysis of US local government fiscal effort
Geographically Weighted Regression
Regional effects of terrorism on economic growth in Turkey
Mapping the results of local statistics
Spatial Econometrics
Local Spatial Autocorrelation Statistics
Generating Models by the Expansion Method
Estimation Methods for Models of Spatial Interaction
Spatial Interaction and the Statistical Analysis of Lattice Systems
A Simplified Monte Carlo Significance Test Procedure
The Analysis of Spatial Association by Use of Distance Statistics
Geographically Weighted Regression
Notes on Continuous Stochastic Phenomena
Trends in quantitative methods I
Directional Variation in Distance Decay
Local Indicators of Spatial Association—Lisa
Geographically Weighted Regression
| Unique citing works | 25 |
|---|---|
| Citations per year | 0,89 |
| Citation span | 1998 - 2026 (29) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 24 |