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Geographical Analysis is a peer-reviewed journal published by Wiley, covering Spatial and Panel Data Analysis, Regional Economics and Spatial Analysis, Land Use and Ecosystem Services.
| Publisher | Wiley |
|---|---|
| Reference style | Author–year (Chicago) Author–year — (Smith, 2023) in the text Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Geographical Analysis 12 (3): 45–58.
Formats any DOI in Geographical Analysis style. No sign-up. |
| Publishes research in | Spatial and Panel Data Analysis Regional Economics and Spatial Analysis Land Use and Ecosystem Services Urban Transport and Accessibility Economic and Environmental Valuation |
| ISSN | 0016-7363 |
| Citation impact (2-yr) | 2.62 |
| h-index | 120 |
| i10-index | 1,009 |
| Total citations | 92,589 |
| Article processing charge | $3,760 |
| Top institutions publishing here | University of California, Santa Barbara |
| Journal website | onlinelibrary.wiley.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
The capabilities for visualization, rapid data retrieval, and manipulation in geographic information systems (GIS) have created the need for new techniques of exploratory data analysis that focus on the “spatial” aspects of the data. The identification of local patterns of spatial association is an important concern in this respect. In this paper, I outline a…
Introduced in this paper is a family of statistics, G , that can be used as a measure of spatial association in a number of circumstances. The basic statistic is derived, its properties are identified, and its advantages explained. Several of the G statistics make it possible to evaluate the spatial association of a variable…
The statistics G i (d) and G i *(d), introduced in Getis and Ord (1992) for the study of local pattern in spatial data, are extended and their properties further explored. In particular, nonbinary weights are allowed and the statistics are related to Moran's autocorrelation statistic, I. The correlations between nearby values of the statistics…
Spatial nonstationarity is a condition in which a simple “global” model cannot explain the relationships between some sets of variables. The nature of the model must alter over space to reflect the structure within the data. In this paper, a technique is developed, termed geographically weighted regression, which attempts to capture this variation by calibrating…
This article presents an overview of GeoDa™, a free software program intended to serve as a user‐friendly and graphical introduction to spatial analysis for non‐geographic information systems (GIS) specialists. It includes functionality ranging from simple mapping to exploratory data analysis, the visualization of global and local spatial autocorrelation, and spatial regression. A key feature of…
