ZonalMetrics - a Python toolbox for zonal landscape structure analysis

We present a Python toolbox for the calculation of zonal landscape metrics. Instead of global calculations focusing on the whole landscape, the proposed ZonalMetrics toolbox allows the calculation of landscape metrics for user-defined zones. Such zones can be defined through regular units (e.g. hexa...

Full description

Saved in:
Bibliographic Details
Published in:Computers & geosciences Vol. 99; pp. 91 - 99
Main Authors: Adamczyk, Joanna, Tiede, Dirk
Format: Journal Article
Language:English
Published: Elsevier Ltd 01.02.2017
Subjects:
ISSN:0098-3004, 1873-7803
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:We present a Python toolbox for the calculation of zonal landscape metrics. Instead of global calculations focusing on the whole landscape, the proposed ZonalMetrics toolbox allows the calculation of landscape metrics for user-defined zones. Such zones can be defined through regular units (e.g. hexagons, grids) that can be created within the toolbox. In addition, any polygonal set specified by the user (e.g. administrative units) can be used. The implemented set of landscape metrics is specifically selected and valid for calculations within zones. The tool is demonstrated based on a case study for the Warsaw metropolitan area and the possibilities of applying the toolbox for different zonal layers are illustrated. The implementation is based on the Python toolbox introduced in ArcGIS 10.1, offering an easy to use graphical user interface and batch calculation possibilities. The source code is free and open to the community and extendable to specific needs. [Display omitted] •A toolbox for the calculation of landscape metrics in zones.•Any polygonal input can be used as a statistical layer.•The implemented metrics are valid for within zone calculation.•A Python-toolbox concept is implemented.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0098-3004
1873-7803
DOI:10.1016/j.cageo.2016.11.005