Regionalization of Landscape Pattern Indices Using Multivariate Cluster Analysis

Regionalization of landscape pattern indices using multivariate cluster analysis.

Regionalization, or the grouping of objects in space, is a useful tool for organizing, visualizing, and synthesizing the information contained in multivariate spatial data. Landscape pattern indices can be used to quantify the spatial pattern (composition and configuration) of land cover features. Observable patterns can be linked to underlying processes affecting the generation of landscape pa...

Preliminary Analysis on the Regionalization of Landscape Pattern Indices using Multivariate Cluster Analysis – MBPI Working Paper

Gap Shape Classification using Landscape Indices and Multivariate Statistics

This study proposed a novel methodology to classify the shape of gaps using landscape indices and multivariate statistics. Patch-level indices were used to collect the qualified shape and spatial configuration characteristics for canopy gaps in the Lienhuachih Experimental Forest in Taiwan in 1998 and 2002. Non-hierarchical cluster analysis was used to assess the optimal number of gap clusters ...

Regionalization of the conterminous U.S. into hierarchical landscape pattern types

We present a pattern-based regionalization of the conterminous U.S. – a partition of the country into a number of mutually exclusive and exhaustive regions that maximizes the intra-region stationarity of land cover patterns and inter-region disparity between those patterns. The result is a discretization of land surface into a number of landscape pattern types (LPTs). First, the entire NLCD is ...

Unsupervised regionalization of the United States into landscape pattern types

We present a pattern-based regionalization of the conterminous US – a partitioning of the country into a number of mutually exclusive and exhaustive regions that maximizes the intra-region stationarity of land cover patterns and inter-region disparity between those patterns. The result is a discretization of the land surface into a number of landscape pattern types (LPTs) – spatial units each c...