Testing time-geographic density estimation for home range analysis using an agent-based model of animal movement

2018 ◽  
Vol 32 (7) ◽  
pp. 1505-1522 ◽  
Author(s):  
Joni Downs ◽  
Mark Horner ◽  
David Lamb ◽  
Rebecca W. Loraamm ◽  
James Anderson ◽  
...  
Keyword(s):  
Home Range ◽  
Density Estimation ◽  
Animal Movement ◽  
Testing Time ◽  
Agent Based Model ◽  
Range Analysis ◽  
Agent Based ◽  
Home Range Analysis

Time-geographic density estimation for home range analysis

Annals of GIS ◽  
2011 ◽  
Vol 17 (3) ◽  
pp. 163-171 ◽  
Author(s):  
Joni A. Downs ◽  
Mark W. Horner ◽  
Anton D. Tucker
Keyword(s):  
Home Range ◽  
Density Estimation ◽  
Range Analysis ◽  
Home Range Analysis

The Habitat Use and Home Range Analysis of Dunlin (Calidris alpina) in Chongming Dongtan, China and their Conservation Implications

Wetlands ◽  
2013 ◽  
Vol 34 (2) ◽  
pp. 255-266 ◽  
Author(s):  
Chiyeung Choi ◽  
Xiaojing Gan ◽  
Ning Hua ◽  
Yong Wang ◽  
Zhijun Ma
Keyword(s):  
Home Range ◽  
Habitat Use ◽  
Range Analysis ◽  
Calidris Alpina ◽  
Conservation Implications ◽  
Home Range Analysis

scholarly journals Emergent weak home-range behaviour without spatial memory

2016 ◽  
Vol 3 (6) ◽  
pp. 160214 ◽  
Author(s):  
Tomoko Sakiyama ◽  
Yukio-Pegio Gunji
Keyword(s):  
Home Range ◽  
Spatial Memory ◽  
Resource Selection ◽  
Memory Capacity ◽  
Cognitive Capacity ◽  
Agent Based Model ◽  
Local Conditions ◽  
Selection Rules ◽  
Agent Based ◽  
Living Things

Space-use problems have been well investigated. Spatial memory capacity is assumed in many home-range algorithms; however, actual living things do not always exploit spatial memory, and living entities can exhibit adaptive and flexible behaviour using simple cognitive capacity. We have developed an agent-based model wherein the agent uses only detected local regions and compares global efficiencies for a habitat search within its local conditions based on memorized information. Here, memorized information was acquired by scanning locally perceived environments rather than remembering resource locations. When memorized information matched to its current environments, the agent changed resource selection rules. As a result, the agent revisited previous resource sites while exploring new sites, which was demonstrating a weak home-range property.

scholarly journals Mechanistic home range analysis reveals drivers of space use patterns for a non‐territorial passerine

2020 ◽  
Vol 89 (12) ◽  
pp. 2763-2776 ◽  
Author(s):  
Natasha Ellison ◽  
Ben J. Hatchwell ◽  
Sarah J. Biddiscombe ◽  
Clare J. Napper ◽  
Jonathan R. Potts
Keyword(s):  
Home Range ◽  
Space Use ◽  
Range Analysis ◽  
Use Patterns ◽  
Home Range Analysis

Home Range Analysis of Perodicticus potto edwardsi and Sciurocheirus cameronensis

2005 ◽  
Vol 26 (1) ◽  
pp. 191-206 ◽  
Author(s):  
Elizabeth R. Pimley ◽  
Simon K. Bearder ◽  
Alan F. Dixson
Keyword(s):  
Home Range ◽  
Range Analysis ◽  
Home Range Analysis

Incorporating Activity Time in Harmonic Home Range Analysis

1987 ◽  
Vol 51 (1) ◽  
pp. 254 ◽  
Author(s):  
Michael D. Samuel ◽  
Edward O. Garton
Keyword(s):  
Home Range ◽  
Activity Time ◽  
Range Analysis ◽  
Home Range Analysis
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