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Spatially smoothed robust covariance estimation for local outlier detection
Most multivariate outlier detection procedures ignore the spatial dependency of observations, which is present in many real data sets from various application areas. This paper introduces a new outlie
DataCite Commons2023-12-21 更新120
Supplement 2. R code used for wolf analysis.
File List Wolf code.r – Source code to run wolf analysis Description This is provided for illustration only, the wolf data are not offered online. The code operates on a data frame in which rows corre
DataCite Commons2020-09-03 更新90
Supplement 1. Software for estimating movement parameters from spatially referenced mark–recapture data.
File List programs.zip example.zip helpfile.pdf Description The file programs.zip includes the software Mapper and Disperse and auxiliary files needed to run the programs. The softw
NIAID Data Ecosystem70
Advancing lattice data techniques using multiscale decomposition : simulations and applications
The supporting material includes figures and tables of the work where spatial lattice techniques and methods were developed to detect and predict spatial hotspots. The multiscale decomposition algorit
DataCite Commons2024-03-18 更新100
Appendix C. The minimum, mean, median, maximum, and standard deviation of each variable by spatial scale.
The minimum, mean, median, maximum, and standard deviation of each variable by spatial scale.
DataCite Commons2020-09-04 更新80



