A computational framework for generalized moving windows and its application to landscape pattern analysis
详细信息 查看全文
- 作者：Alex Hagen-Zanker a.hagen-zanker@surrey.ac.uk" class="auth_mail" title="E-mail the corresponding author
- 关键词：Moving window ; Gradient model ; Landscape metric ; Multi-scale
- 刊名：International Journal of Applied Earth Observation and Geoinformation
- 出版年：2016
- 出版时间：February 2016
- 年：2016
- 卷：44
- 期：Complete
- 页码：205-216
- 全文大小：3292 K
文摘
- class="listitem" id="list_lis0005">
- class="label">•
Moving window analysis is a prominent means of analyzing the spatial variability of landscape patterns at multiple scales.
- class="label">•
A new computational framework is presented that overcomes technical and computational barriers to the use and implementation of moving windows based landscape pattern analysis of raster maps.
- class="label">•
For a small window of 41 × 41 pixels, computation time was reduced by a factor 600 compared to the most commonly used software. These gains will be greater for larger windows.
- class="label">•
The framework facilitates distance-weighted moving window analysis, which currently is not commonly used. Distance-weighting prevents discontinuities due to the discrete delineation of windows and is the natural choice for geographical analysis.