Geographical Analysis

Scholarly journal publishing significant advances in geographical theory, model building, and quantitative methods.

Articles from Vol. 33, No. 1, January

An Approximation for the Rank Adjacency Statistic for Spatial Clustering with Sparse Data
The rank adjacency statistic D provides a simple method to assess regional clustering. It is defined as the weighted average absolute difference in ranks of the data, taken over all possible pairs of adjacent regions. In this paper the usual normal...
A Statistical Method for Analyzing the Relative Location of Points in a Bounded Region
This paper develops a statistical method for analyzing the relative location of points in a bounded region. The location of points in relation to the center of the region in which they are located is discussed. Four spatial objects called reference...
Exploring Spatial Process Dynamics Using Irregular Cellular Automaton Models
Cellular automaton models have enjoyed popularity in recent years as easily constructed models of many complex spatial processes, particularly in the natural sciences, and more recently in geography also. Most such models adopt a regular lattice (often...
Location-Specific Cumulative Distribution Function (LSCDF): An Alternative to Spatial Correlation Analysis
Quite often, geographical analysis involves comparing the spatial distributions of two variables or attributes. A typical method is to calculate the correlation coefficient of the two variables for corresponding areal units. Putting aside the fact...
On the Spatial Decomposition of Forecasts
This paper uses historical socioeconomic data to evaluate the elasticities of a Dendrinos-Sonis one-population/two-locations nonlinear dynamic comparative advantage model for determining subregional shares of aggregate regional forecasts. The fractal...
Power of the Rank Adjacency Statistic to Detect Spatial Clustering in a Small Number of Regions
The rank adjacency statistic D is a statistical method for assessing spatial autocorrelation or clustering of geographical data. It was originally proposed for summarizing the geographical patterns of cancer data in Scotland (IARC 1985). In this paper,...