Area-based tests for association between spatial patterns |
| |
Authors: | Susan L Maruca Geoffrey M Jacquez |
| |
Institution: | (1) BioMedware, Inc., 516 N. State St., Ann Arbor, MI 48104, USA (e-mail: maruca@biomedware.com), US |
| |
Abstract: | Edge effects pervade natural systems, and the processes that determine spatial heterogeneity (e.g. physical, geochemical,
biological, ecological factors) occur on diverse spatial scales. Hence, tests for association between spatial patterns should
be unbiased by edge effects and be based on null spatial models that incorporate the spatial heterogeneity characteristic
of real-world systems. This paper develops probabilistic pattern association tests that are appropriate when edge effects
are present, polygon size is heterogeneous, and the number of polygons varies from one classification to another. The tests
are based on the amount of overlap between polygons in each of two partitions. Unweighted and area-weighted versions of the
statistics are developed and verified using scenarios representing both polygon overlap and avoidance at different spatial
scales and for different distributions of polygon sizes. These statistics were applied to Soda Butte Creek, Wyoming, to determine
whether stream microhabitats, such as riffles, pools and glides, can be identified remotely using high spatial resolution
hyperspectral imagery. These new “spatially explicit” techniques provide information and insights that cannot be obtained
from the spectral information alone.
Received 1 June 2001 / Accepted 25 October 2001 |
| |
Keywords: | : Hyperspectral imagery spatial statistics pattern recognition stream habitat |
本文献已被 SpringerLink 等数据库收录! |
|