The DOI matches its Crossref record.
Influence of Sampling Interval on Estimates of Home-Range Size
Abstract
Accurate estimation of home-range size often requires large numbers of observations. Radiotelemetry and direct observation are capable of yielding large sample sizes in a short period of time, but observations collected using a short sampling interval often are autocorrelated (i.e., not independent). We examined the effect of autocorrelation on six measures of home range and found that positive autocorrelation resulted in underestimation of home-range size. In long-term studies of movement, sampling intervals should be chosen so that autocorrelation between successive observations is negligible. If home-range estimates must be obtained in a relatively short period of time, collection of autocorrelated data may be unavoidable; under these circumstances nonstatistical measures of home-range size are more appropriate than statistical mea-
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
The exploratory analysis of autocorrelation in animal‐movement studies
Dray, S., Royer‐Carenzi, M., & Calenge, C. (2010) · Ecological Research · doi:10.1007/s11284-010-0701-7 · Cited by 70
Tremblay, J.-P., Crête, M., & Huot, J. (1998) · Écoscience · doi:10.1080/11956860.1998.11682456 · Cited by 47
Sankar, K., Pabla, H. S., Patil, C. K., Nigam, P., Qureshi, Q., Navaneethan, B., Manjreakar, M., Virkar, P. S., & Mondal, K. (2013) · Tropical Conservation Science · doi:10.1177/194008291300600108 · Cited by 41
Animal Movement Data: GPS Telemetry, Autocorrelation and the Need for Path-Level Analysis
Cushman, S. A. (2010) · Spatial Complexity, Informatics, and Wildlife Conservation · doi:10.1007/978-4-431-87771-4_7 · Cited by 27
Metadata
- Authors
- Swihart, R. K., & Slade, N. A.
- Venue
- The Journal of Wildlife Management
- Publisher
- JSTOR
- Published
- 1985-10
- Volume
- 49
- Issue
- 4
- Pages
- 1019
- ISSN
- 0022-541X (ISSN-L)
- OpenAlex
- W2314054054
- Cited by
- 422
- References
- 0
- FWCI
- 6.35
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Influence of Sampling Interval on Estimates of Home-Range Size. https://app.cochat.ai/papers/10.2307/3801388
- The paper
- Swihart, R. K., & Slade, N. A. (1985). Influence of Sampling Interval on Estimates of Home-Range Size. The Journal of Wildlife Management. https://doi.org/10.2307/3801388
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.