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version 0.1.1
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Hailyee-Ha authored and cran-robot committed Sep 26, 2023
1 parent de3f593 commit 8462006
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6 changes: 3 additions & 3 deletions DESCRIPTION
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Package: SSIMmap
Title: The Structural Similarity Index Measure for Maps
Version: 0.1.0
Version: 0.1.1
Authors@R: c(
person(given="Hui Jeong (Hailyee)", family="Ha", email="hha24@uwo.ca", role = c("aut", "cre"),comment = c(ORCID = "0000-0002-5229-4528")),
person(given="Jed", family="Long", email="jed.long@uwo.ca", role="aut", comment = c(ORCID = "0000-0003-3961-3085")))
Expand All @@ -19,10 +19,10 @@ URL: https://github.com/Hailyee-Ha/SSIMmap
BugReports: https://github.com/Hailyee-Ha/SSIMmap/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-08-22 15:34:09 UTC; hailyeeha
Packaged: 2023-09-26 17:50:28 UTC; hailyeeha
Author: Hui Jeong (Hailyee) Ha [aut, cre]
(<https://orcid.org/0000-0002-5229-4528>),
Jed Long [aut] (<https://orcid.org/0000-0003-3961-3085>)
Maintainer: Hui Jeong (Hailyee) Ha <hha24@uwo.ca>
Repository: CRAN
Date/Publication: 2023-08-22 18:40:02 UTC
Date/Publication: 2023-09-26 18:10:02 UTC
4 changes: 2 additions & 2 deletions MD5
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24b6d72f33f8add344de41b819642465 *DESCRIPTION
0efd94372f2c92b536bdba920ba2fa9a *DESCRIPTION
14e813b08e1c9579bd569065d24cab52 *LICENSE
5fc0eb7e03324858cfabc9263dfc5d8a *NAMESPACE
bfef7e5e108650d28dc9223dedd0b147 *R/Toronto.R
Expand All @@ -8,7 +8,7 @@ e62fc6c0eaf8a3ad8f36dda0b3ad0da5 *R/gw_dist.R
616f6e46ef455ae29b28a8975fb44f76 *R/gwss_new.R
371a312329de7e90b5bffc31350e3f90 *R/ssim_bandwidth.R
da8043733edbe1ac61d9f29a4eece395 *R/ssim_constant.R
0ec275717336b67ea35ef3782357a2e8 *R/ssim_polygon.R
a6b7702b01648856137f60766396758c *R/ssim_polygon.R
2ceae0c1f4586d2b7277c6cbf270e52e *R/ssim_raster.R
778109128b88b47102b950c4919f80ad *README.md
4e89428feb369f2aa09fb4cb6ff2b196 *build/vignette.rds
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2 changes: 1 addition & 1 deletion R/ssim_polygon.R
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Expand Up @@ -85,7 +85,7 @@ ssim_polygon<-function(shape,map1,map2,standardize=TRUE,bandwidth=NULL,k1=NULL,k
gwss_result<-gwss_new(shape,vars = c(map1,map2),bw=sqrt_num_rows)

}else{
gwss_result<-gwss_new(shape,vars = c(map1,map2),bw=sqrt_num_rows)
gwss_result<-gwss_new(shape,vars = c(map1,map2),bw=bandwidth)
}
mean<-dplyr::select(gwss_result,contains("LM"))
sd<-dplyr::select(gwss_result,contains("LSD"))
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