Conceptual and mathematical relationships among methods for spatial analysis
Top Cited Papers
- 20 August 2002
- Vol. 25 (5), 558-577
- https://doi.org/10.1034/j.1600-0587.2002.250506.x
Abstract
A large number of methods for the analysis of the spatial structure of natural phenomena (for example, the clumping or overdispersion of tree stems, the positions of veins of ore in a rock formation, the arrangement of habitat patches in a landscape, and so on) have been developed in a wide range of scientific fields. This paper reviews many of the methods and describes the relationships among them, both mathematically, using the cross-product as a unifying principle, and conceptually, based on the form of a moving window or template used in calculation. The relationships among these methods suggest that while no single method can reveal all the important characteristics of spatial data, the results of different analyses are not expected to be completely independent of each other.Keywords
This publication has 44 references indexed in Scilit:
- Local Indicators of Spatial Association-LISAGeographical Analysis, 2010
- Integrating the statistical analysis of spatial data in ecologyEcography, 2002
- Transect-based patch size frequency analysisJournal of Vegetation Science, 1997
- A Comparison of Three Exploratory Methods for Cluster Detection in Spatial Point PatternsGeographical Analysis, 1996
- Hierarchical decomposition of variance with applications in environmental mapping based on satellite imagesMathematical Geology, 1996
- Local Spatial Autocorrelation Statistics: Distributional Issues and an ApplicationGeographical Analysis, 1995
- Genetic diversity, mating systems, and interpopulation gene flow in neotropical Hemionitis palmata L. (Adiantaceae)Heredity, 1992
- Spatial Interaction and Spatial Autocorrelation: A Cross-Product ApproachEnvironment and Planning A: Economy and Space, 1991
- NOTES ON CONTINUOUS STOCHASTIC PHENOMENABiometrika, 1950