ViewShedR: a new open-source tool for cumulative, subtractive and elevated line-of-sight analysis

Author:

Arnon Eitam1,Uzan Assaf1,Handel Michal12,Cain Shlomo1,Toledo Sivan3,Spiegel Orr1ORCID

Affiliation:

1. School of Zoology, Faculty of Life Sciences, Tel Aviv University, Tel Aviv 6997801, Israel

2. Faculty of Architecture and Town Planning, Technion – Israel Institute of Technology, Haifa 3200003, Israel

3. Blavatnik School of Computer Science, Tel Aviv University, Tel Aviv 6997801, Israel

Abstract

Many environmental and ecological studies require line of sight (LOS) and/or viewshed analyses. While tools for performing these analyses from digital elevation models (DEMs) are widespread, they are either too restrictive, inaccessible or pricey and difficult to use. This methodological gap is potentially imperative for scholars using solutions like telemetry tracking systems or spatial ecology landscape mapping. Here we present ViewShedR—a free, open-source and intuitive graphical user-interface application for performing LOS calculations, including cumulative, subtractive (areas covered by towers A + B or by A but not by B, respectively), and elevated-target analyses. ViewShedR is implemented in the widely used R environment, thus facilitating usage and further modification by end-users. We provide two working examples for ViewShedR in the context of permanent animal-tracking systems requiring simultaneous tag-detection by multiple towers (receivers): first, the ATLAS system for terrestrial animals in the Harod Valley, Israel; and second, an acoustic telemetry array for marine animals in the Dry Tortugas, Florida. ViewShedR allowed effective tower deployment and finding partially detected tagged animals in the ATLAS system. Similarly, it allowed us to identify reception shadows cast by islands in the marine array. We hope ViewShedR will facilitate deployment of tower arrays for tracking, communication networks and other ecological applications.

Funder

Koret Foundation

Data Science Center, Tel Aviv University

Israel Science Foundation

Publisher

The Royal Society

Subject

Multidisciplinary

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