uid=HFR,o=lter,dc=ecoinformatics,dc=org
all
public
read
doi:10.6073/pasta/f54733ad85e8037fffc14820ef6f4bf6
R Code and Images for Developing a Spatial Concordance Coefficient at Harvard Forest 2010
Ronny
Vallejos
https://orcid.org/0000-0001-5519-0946
Aaron
Ellison
https://orcid.org/0000-0003-4151-6081
Andrew
Richardson
https://orcid.org/0000-0002-0148-6714
Javier
Perez
Researcher
2023
English
Concordance correlation coefficients have been developed in a variety of different contexts. This problem has been widely addressed in a non-spatial context, but here we consider a coefficient that for a fixed spatial lag allows the comparison of two spatial sequences (e.g., images). We define a spatial concordance coefficient for second-order stationary processes.
canopies
imagery
phenology
spatial variability
LTER controlled vocabulary
primary production
LTER core area
Harvard Forest
HFR
LTER
USA
HFR default
This dataset is released to the public under Creative Commons CC0 1.0 (No Rights Reserved). Please keep the dataset creators informed of any plans to use the dataset. Consultation with the original investigators is strongly encouraged. Publications and data products that make use of the dataset should include proper acknowledgement.
Creative Commons Zero v1.0 Universal
https://spdx.org/licenses/CC0-1.0.html
CC0-1.0
https://harvardforest.fas.harvard.edu/exist/apps/datasets/showData.html?id=hf322
Prospect Hill Tract (Harvard Forest). Coordinates based on WGS84 datum.
-72.20
-72.17
+42.55
+42.53
280
420
meter
2010
2010
genus
Pinus
species
strobus
white pine
genus
Quercus
species
rubra
red oak
complete
Information Manager
Harvard Forest
324 North Main Street
Petersham
MA
01366
USA
(978) 724-3302
hf-im@lists.fas.harvard.edu
Harvard Forest
324 North Main Street
Petersham
MA
01366
USA
(978) 724-3302
(978) 724-3595
https://harvardforest.fas.harvard.edu
The proposed spatial concordance coefficient was explored for the bivariate Mat\'ern and Wendland covariance functions. The asymptotic normality of a sample version of the spatial concordance coefficient for an increasing domain sampling framework was established for the Wendland covariance function. Finally, we developed a local approach for estimating the concordance that uses local spatial models on non-overlapping windows.
As an illustrative example, we applied this methodology to two similar images of a deciduous forest canopy at Harvard Forest. The images were recorded with different cameras but similar fields-of-view and within minutes of each other. Our analysis showed that the local approach helped to explain a percentage of the non-spatial concordance and to learn about the decaying of it as a function of the spatial lag.
Harvard Forest Long-Term Ecological Research
Harvard Forest
324 North Main Street
Petersham
MA
01366
USA
(978) 724-3302
(978) 724-3595
https://harvardforest.fas.harvard.edu
https://ror.org/059cpzx98
pointOfContact
The Harvard Forest Long-Term Ecological Research (LTER) program examines ecological dynamics in the New England region resulting from natural disturbances, environmental change, and human impacts.
National Science Foundation LTER grants: DEB-8811764, DEB-9411975, DEB-0080592, DEB-0620443, DEB-1237491, DEB-1832210.
hf322-01-geomodels-concordance.txt
R code
hf322-01-geomodels-concordance.txt
4143
a9f4d672c96cc91fcf3db0ccc6374f0d
none
R script
https://harvardforest.fas.harvard.edu/data/p32/hf322/hf322-01-geomodels-concordance.txt
script
hf322-02-canopy-images.zip
canopy images
hf322-02-canopy-images.zip
5219675
bd55c1e27b2f34d6aadcc2d0ecf232df
zip
jpeg, png
https://harvardforest.fas.harvard.edu/data/p32/hf322/hf322-02-canopy-images.zip
image
hf322-03-code-simulations-wendland.txt
simulations R code
hf322-03-code-simulations-wendland.txt
36260
aeb45ae596c97a083358c60d3d504b98
none
R script
https://harvardforest.fas.harvard.edu/data/p32/hf322/hf322-03-code-simulations-wendland.txt
script
informatics
short-term measurement
modeling
https://harvardforest.fas.harvard.edu/exist/apps/datasets/showData.html?id=hf158
https://harvardforest.fas.harvard.edu/exist/apps/datasets/showData.html?id=hf215