
Statistical challenges in spatial analysis of plant ecology data
Publication
, Journal Article
Gelfand, AE
Published in: Spatial Statistics
June 1, 2020
The scope of spatial statistics problems arising in ecology is substantial. They concern both plant and animal behavior. Here, we discuss only plants. The range of issues is still very large and so we confine ourselves to four challenges, each within the context of model development. These are: species distribution models, both individual and joint; preferential sampling and bias in presence/absence data collection; time to event data across spatial regions; high-dimensional multivariate spatial process model fitting in the context of joint species distribution models.
Duke Scholars
Published In
Spatial Statistics
DOI
ISSN
2211-6753
Publication Date
June 1, 2020
Volume
37
Related Subject Headings
- 4905 Statistics
- 0801 Artificial Intelligence and Image Processing
- 0104 Statistics
Citation
APA
Chicago
ICMJE
MLA
NLM
Gelfand, A. E. (2020). Statistical challenges in spatial analysis of plant ecology data. Spatial Statistics, 37. https://doi.org/10.1016/j.spasta.2020.100418
Gelfand, A. E. “Statistical challenges in spatial analysis of plant ecology data.” Spatial Statistics 37 (June 1, 2020). https://doi.org/10.1016/j.spasta.2020.100418.
Gelfand AE. Statistical challenges in spatial analysis of plant ecology data. Spatial Statistics. 2020 Jun 1;37.
Gelfand, A. E. “Statistical challenges in spatial analysis of plant ecology data.” Spatial Statistics, vol. 37, June 2020. Scopus, doi:10.1016/j.spasta.2020.100418.
Gelfand AE. Statistical challenges in spatial analysis of plant ecology data. Spatial Statistics. 2020 Jun 1;37.

Published In
Spatial Statistics
DOI
ISSN
2211-6753
Publication Date
June 1, 2020
Volume
37
Related Subject Headings
- 4905 Statistics
- 0801 Artificial Intelligence and Image Processing
- 0104 Statistics