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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.
Journal cover image

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