Volume 53, Issue 5
Technical Note

IDW‐Plus: An ArcGIS Toolset for Calculating Spatially Explicit Watershed Attributes for Survey Sites

Erin E. Peterson

Corresponding Author

Principal Research Fellow

E-mail address: erin.peterson@qut.edu.au

ARC Centre for Excellence in Mathematical & Statistical Frontiers and the Institute for Future Environments, Queensland University of Technology, 2 George St, Brisbane, Queensland, 4001 Australia

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Alan R. Pearse

Research Assistant

ARC Centre for Excellence in Mathematical & Statistical Frontiers and the Institute for Future Environments, Queensland University of Technology, 2 George St, Brisbane, Queensland, 4001 Australia

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First published: 13 August 2017
Citations: 4
Paper No. JAWRA‐16‐0214‐N of the Journal of the American Water Resources Association (JAWRA).
Discussions are open until six months from issue publication.

Abstract

Watershed characteristics such as land‐use and land‐cover affect stream condition at multiple scales, but it is widely accepted that conditions in close proximity to the stream or survey site tend to have a stronger influence. Although spatially weighted watershed metrics have existed for years, nonspatial lumped landscape metrics (i.e., areal mean or percentage) are still widely used because relatively few technical skills are needed to implement them. The Inverse Distance Weighted Percent Land Use for Streams (IDW‐Plus) custom ArcGIS toolset provides the functionality to efficiently calculate six spatially explicit watershed metrics which account for the Euclidean or flow length distance to the stream or outlet, as well as the probability for overland runoff. These include four distance‐weighted metrics, those being inverse Euclidean distance to the stream or outlet, and the inverse flow length to the stream or outlet. Two tools are also included to generate hydrologically active (i.e., runoff potential), inverse flow length to the stream or outlet metrics. We demonstrate the tools using real data from Southeast Queensland, Australia. We also provide detailed instructions, so readers can recreate the examples themselves before applying the tools to their own data.

Number of times cited according to CrossRef: 4

  • Thermal Diversity of Salmon Streams in the Matanuska‐Susitna Basin, Alaska, JAWRA Journal of the American Water Resources Association, 10.1111/1752-1688.12839, 56, 4, (630-646), (2020).
  • Applying the index of watershed integrity to the Matanuska–Susitna basin, Arctic, Antarctic, and Alpine Research, 10.1080/15230430.2020.1800219, 52, 1, (435-449), (2020).
  • Remote Sensing Approach to Upstream Slope Inspection, Journal of Geotechnical and Geoenvironmental Engineering, 10.1061/(ASCE)GT.1943-5606.0002159, 145, 11, (04019102), (2019).
  • Performance of landscape composition metrics for predicting water quality in headwater catchments, Scientific Reports, 10.1038/s41598-019-50895-6, 9, 1, (2019).

The full text of this article hosted at iucr.org is unavailable due to technical difficulties.