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How Environmental Factors Impact Outdoor Wireless Sensor Networks: A Case Study.

, , , , and . MASS, page 565-573. IEEE Computer Society, (2013)

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HaniMob 2021 Workshop Report: The 1st ACM SIGSPATIAL Workshop on Animal Movement Ecology and Human Mobility., , , , and . ACM SIGSPATIAL Special, 13 (3): 33-36 (November 2021)Motes in the Jungle: Lessons Learned from a Short-Term WSN Deployment in the Ecuador Cloud Forest., , , , , and . REALWSN, volume 6511 of Lecture Notes in Computer Science, page 25-36. Springer, (2010)HaniMob 2022 Workshop Report: The 2nd ACM SIGSPATIAL Workshop on Animal Movement Ecology and Human Mobility., , , , , , , and . ACM SIGSPATIAL Special, 14 (1): 32-36 (November 2022)Extracting stay regions with uncertain boundaries from GPS trajectories: a case study in animal ecology., , and . SIGSPATIAL/GIS, page 253-262. ACM, (2014)How Environmental Factors Impact Outdoor Wireless Sensor Networks: A Case Study., , , , and . MASS, page 565-573. IEEE Computer Society, (2013)Individual Movement - Sequence Analysis Method (IM-SAM): characterizing spatio-temporal patterns of animal habitat use across landscapes., , , , , , , , , and 3 other author(s). Int. J. Geogr. Inf. Sci., 34 (8): 1530-1551 (2020)Moving in the Anthropocene: Global reductions in terrestrial mammalian movements, , , , , , , , , and 105 other author(s). Science, 359 (6374): 466-469 (2018)MigrO: a plug-in for the analysis of individual mobility behavior based on the stay region model., , , , , and . SIGSPATIAL/GIS, page 96:1-96:4. ACM, (2015)Data from: Day versus night use of forest by red and roe deer as determined by Corine Land Cover and Copernicus Tree Cover Density: assessing use of geographic layers in movement ecology., , , , , , , , , and 7 other author(s). (February 2023)Cluster-based trajectory segmentation with local noise., , , , , and . Data Min. Knowl. Discov., 32 (4): 1017-1055 (2018)