From 92e1552850e75fbee07a39f4908c42b3d16b9753 Mon Sep 17 00:00:00 2001 From: MGousseff Date: Wed, 18 Dec 2024 19:01:12 +0100 Subject: [PATCH] compareMultiple ouputs a long form of agreements by pair of workflows for each intersected geometries. workflowAgreeAreas outputs the areas summed on where any pair of workflows agreee / disagree To do : compute the summed areas when pairs of LCZ values agree / disagree --- DESCRIPTION | 2 + NAMESPACE | 12 ++ R/compareMultipleLCZ.R | 66 +++++---- R/concatAlocationWorkflows.R | 35 +++++ R/concatIntersectedLocations.R | 32 +++++ R/importLCZvect.R | 124 ++++++++++++++--- R/intersecAlocation.R | 3 + R/loadMultipleSf.R | 37 +++++ R/workflowAgreeAreas.R | 17 +++ docs/articles/joss/compareQualVar.png | Bin 192921 -> 0 bytes docs/articles/joss/compareRedon.png | Bin 246190 -> 0 bytes docs/articles/joss/confidSensibByLCZ.png | Bin 56504 -> 0 bytes docs/articles/joss/confidSensibGen.png | Bin 35039 -> 0 bytes docs/articles/joss/confuSionMatrix.png | Bin 75029 -> 0 bytes docs/articles/joss/fromBrutToGrouped.png | Bin 182881 -> 0 bytes docs/articles/joss/importQualVarUTRF.png | Bin 108318 -> 0 bytes docs/articles/joss/intersecDemo.png | Bin 176672 -> 0 bytes docs/articles/joss/redonGrouped.png | Bin 128014 -> 0 bytes docs/articles/joss/showRedonOSM.png | Bin 111843 -> 0 bytes docs/articles/joss/workflow.odg | Bin 38054 -> 0 bytes docs/articles/joss/workflow.png | Bin 322230 -> 0 bytes inst/tinytest/test_compareMultiple.R | 38 ++++-- inst/tinytest/test_createIntersect.R | 17 ++- inst/tinytest/test_multipleCramer.R | 163 ++++++++++++----------- man/compareLCZ.Rd | 4 +- man/importLCZvect.Rd | 3 +- 26 files changed, 403 insertions(+), 150 deletions(-) create mode 100644 R/concatAlocationWorkflows.R create mode 100644 R/concatIntersectedLocations.R create mode 100644 R/loadMultipleSf.R create mode 100644 R/workflowAgreeAreas.R delete mode 100644 docs/articles/joss/compareQualVar.png delete mode 100644 docs/articles/joss/compareRedon.png delete mode 100644 docs/articles/joss/confidSensibByLCZ.png delete mode 100644 docs/articles/joss/confidSensibGen.png delete mode 100644 docs/articles/joss/confuSionMatrix.png delete mode 100644 docs/articles/joss/fromBrutToGrouped.png delete mode 100644 docs/articles/joss/importQualVarUTRF.png delete mode 100644 docs/articles/joss/intersecDemo.png delete mode 100644 docs/articles/joss/redonGrouped.png delete mode 100644 docs/articles/joss/showRedonOSM.png delete mode 100644 docs/articles/joss/workflow.odg delete mode 100644 docs/articles/joss/workflow.png diff --git a/DESCRIPTION b/DESCRIPTION index 297396b..ea09a7b 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -23,6 +23,8 @@ Imports: RColorBrewer, rlang, grDevices, DescTools, + caret, + confintr, methods Suggests: tinytest, diff --git a/NAMESPACE b/NAMESPACE index a3ccf73..a212eba 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -4,19 +4,29 @@ export(CohenKappa) export(LCZareas) export(areColors) export(compareLCZ) +export(compareMultipleLCZ) +export(concatAlocationWorkflows) +export(concatIntersectedLocations) export(confidSensib) +export(createIntersect) export(fetchLCZ) export(groupLCZ) export(importLCZgc) export(importLCZraster) export(importLCZvect) +export(importLCZvectFromFile) +export(importLCZvectFromSf) export(importQualVar) +export(intersectAlocation) export(levCol) +export(loadMultipleSf) export(matConfLCZ) export(matConfLCZGlob) +export(multipleCramer) export(produceAnalysis) export(showLCZ) export(standLevCol) +export(workflowAgreeAreas) import(RColorBrewer) import(cowplot) import(dplyr) @@ -29,6 +39,8 @@ import(sf) import(tidyr) import(units) import(utils) +importFrom(caret,dummyVars) +importFrom(confintr,cramersv) importFrom(forcats,fct_recode) importFrom(ggplot2,aes) importFrom(ggplot2,geom_sf) diff --git a/R/compareMultipleLCZ.R b/R/compareMultipleLCZ.R index f796793..4818fc4 100644 --- a/R/compareMultipleLCZ.R +++ b/R/compareMultipleLCZ.R @@ -1,8 +1,6 @@ #' Compares several sets of geographical classifications, especially Local Climate Zones classifications -#' @param sfList a list which contains the classifications to compare, as sf objects -#' @param LCZcolumns a vector which contains, for eacfh sf of sfList, the name of the column of the classification to compare -#' @param refCrs a number which indicates which sf object from sfList will provide the CRS in which all the sf objects will be projected before comparison -#' By defautl it is set to an empty string and no ID is loaded. +#' @param sfInt an sf objects with intersected geometries and the LCZ columns for each workflow LCZ +#' @param LCZcolumns a vector which contains, the name of the columns of the classification to compare #' @param sfWf a vector of strings which contains the names of the workflows used to produce the sf objects #' @param trimPerc this parameters indicates which percentile to drop out of the smallest geometries resulting #' from the intersection of the original sf geometries intersection. @@ -18,36 +16,46 @@ #' @export #' @examples #' -compareMultipleLCZ<-function(sfList, LCZcolumns, refCrs=NULL, sfWf=NULL, trimPerc=0.05){ - echInt<-createIntersect(sfList = sfList, columns = LCZcolumns , refCrs= refCrs, sfWf = sfWf) - print(nrow(echInt)) - echInt <- echInt %>% subset(area>quantile(echInt$area, probs=trimPerc) & !is.na(area)) - echIntnogeom<-st_drop_geometry(echInt) - for (i in 1:(length(sfList) - 1)) { - for(j in (i+1):length(sfList)){ - compName<-paste0(i,"_",j) +compareMultipleLCZ<-function(sfInt, LCZcolumns, sfWf=NULL, trimPerc=0.05){ + if (is.null(LCZcolumns)) { + LCZcolumns<-names(sfInt)[!names(sfInt)%in%c("area", "geometry")] + } + sfInt <- sfInt %>% subset(area>quantile(sfInt$area, probs=trimPerc) & !is.na(area)) + sfIntnogeom<-st_drop_geometry(sfInt) + + if (is.null(sfWf) | length(sfWf)!=length(LCZcolumns)){sfWf<-LCZcolumns} + + for (i in 1:(length(LCZcolumns) - 1)) { + for(j in (i+1):length(LCZcolumns)){ + compName<-paste0(sfWf[i],"_",sfWf[j]) print(compName) - echIntnogeom[,compName]<-echIntnogeom[,i] == echIntnogeom[,j] + sfIntnogeom[,compName]<-sfIntnogeom[ , LCZcolumns[i]] == sfIntnogeom[ , LCZcolumns[j]] } } - rangeCol<-(length(sfList)+3):ncol(echIntnogeom) + rangeCol<-(length(LCZcolumns)+2):ncol(sfIntnogeom) print(rangeCol) - # print(names(echIntnogeom[,rangeCol])) - echIntnogeom$nbAgree<-apply(echIntnogeom[,rangeCol],MARGIN=1,sum) - echIntnogeom$maxAgree<-apply( - X = echIntnogeom[,1:length(sfList)], MARGIN = 1, function(x) max(table(x) )) - echInt<-cbind(echIntnogeom,echInt$geometry) %>% st_as_sf() - echInt - echIntLong<-pivot_longer(st_drop_geometry(echInt),cols=rangeCol, names_to = "whichWfs", values_to = "agree") - echIntLong$LCZref<-substr(echIntLong$whichWfs,start = 1, stop=1 ) - print(head(echIntLong[,c(1,2,9:10)])) - whichLCZagree <- names(echIntLong)[as.numeric(echIntLong$LCZref)] - indRow<- seq_len(nrow(echIntLong)) + # print(names(sfIntnogeom[,rangeCol])) + sfIntnogeom$nbAgree<-apply( + X = sfIntnogeom[,rangeCol],MARGIN=1,sum) + sfIntnogeom$maxAgree<-apply( + X = sfIntnogeom[,1:length(LCZcolumns)], MARGIN = 1, function(x) max(table(x) )) + print(head(sfIntnogeom)) + + # long format + sfIntLong<-pivot_longer(sfIntnogeom, cols=names(sfIntnogeom)[rangeCol], names_to = "whichWfs", values_to = "agree") + + # Get the reference LCZ column on which 2 wf agree + + whichLCZagree <- gsub( x = sfIntLong$whichWfs, pattern = "(.*)(_)(.*)", replacement = "\\1") + indRow<- seq_len(nrow(sfIntLong)) z<-data.frame(indRow, whichLCZagree) - echIntLong$LCZvalue<-apply(z, 1, function(x) unlist(st_drop_geometry(echIntLong)[x[1], x[2]])) - print(head(echIntLong[,c(1,2,9:11)])) - - output<-list(echInt=echInt, echIntLong=echIntLong) + print(head(z)) + sfIntLong$LCZvalue<-apply(z, 1, function(x) unlist(st_drop_geometry(sfIntLong)[x[1], x[2]])) + print(head(sfIntLong[,c(1,2,9:11)])) + sfInt<-cbind(sfIntnogeom,sfInt$geometry) %>% st_as_sf() + + + output<-list(sfInt=sfInt, sfIntLong=sfIntLong) } diff --git a/R/concatAlocationWorkflows.R b/R/concatAlocationWorkflows.R new file mode 100644 index 0000000..d43a299 --- /dev/null +++ b/R/concatAlocationWorkflows.R @@ -0,0 +1,35 @@ +#' Take sf files with an lcz_primary column, and concatenates them in a single sf object, +#' adding a column for location and workflow names +#' @param sfList the list of LCZ sf objects +#' @param workflowNames sets the names of workflows and define the name of the files which will be loaded and intersected +#' @param location the name of the location at which all LCZ are created +#' @importFrom ggplot2 geom_sf guides ggtitle aes +#' @import sf dplyr cowplot forcats units tidyr RColorBrewer utils grDevices rlang +#' @return returns graphics of comparison and an object called matConfOut which contains : +#' matConfLong, a confusion matrix in a longer form, +#' matConfPlot is a ggplot2 object showing the confusion matrix. +#' percAgg is the general agreement between the two sets of LCZ, expressed as a percentage of the total area of the study zone +#' pseudoK is a heuristic estimate of a Cohen's kappa coefficient of agreement between classifications +#' If saveG is not an empty string, graphics are saved under "saveG.png" +#' @export +#' @examples +concatAlocationWorkflows<-function(sfList, location, refCrs = 1){ + if (is.null(location)){ + location<- sfList[[1]]["location"][1] + } + concatDf<-data.frame( + matrix(ncol=4, nrow=0) + ) + names(concatDf)<-c("lcz_primary", "location", "wf", "geometry") +refCrs<-st_crs(sfList[[refCrs]]$geometry) + for (i in 1:length(sfList)){ + inSf<-st_transform( + sfList[[i]], + crs = refCrs) + concatDf<-rbind(concatDf,inSf) + } + concatSf<-st_as_sf(concatDf) + rm(concatDf) ; gc() + concatSf<-mutate(concatSf, area = st_area(concatSf), .before = geometry) +return(concatSf) +} \ No newline at end of file diff --git a/R/concatIntersectedLocations.R b/R/concatIntersectedLocations.R new file mode 100644 index 0000000..dacb73d --- /dev/null +++ b/R/concatIntersectedLocations.R @@ -0,0 +1,32 @@ +#' In a given directory (or a list of directories) the function looks for LCZ datafiles, intersects them and return a datasets with intersected geometries and LCZ values for each workflow +#' @param dirList the list of directories for which the different LCZ files will be intersected +#' @param workflowNames sets the names of workflows and define the name of the files which will be loaded and intersected +#' @param for each diretory from dirList, a location name must be fed to the function +#' @importFrom ggplot2 geom_sf guides ggtitle aes +#' @import sf dplyr cowplot forcats units tidyr RColorBrewer utils grDevices rlang +#' @return returns graphics of comparison and an object called matConfOut which contains : +#' matConfLong, a confusion matrix in a longer form, +#' matConfPlot is a ggplot2 object showing the confusion matrix. +#' percAgg is the general agreement between the two sets of LCZ, expressed as a percentage of the total area of the study zone +#' pseudoK is a heuristic estimate of a Cohen's kappa coefficient of agreement between classifications +#' If saveG is not an empty string, graphics are saved under "saveG.png" +#' @export +#' @examples +#' +concatIntersectedLocations<-function(dirList, locations, workflowNames = c("osm","bdt","iau","wudapt")){ + concatIntersectedDf<-data.frame( + matrix(ncol=length(workflowNames)+3, nrow=0) + ) + names(concatIntersectedDf)<-c(workflowNames,"area", "location", "geometry") + + for (i in 1:length(dirList)){ + print(locations[i]) + concatIntersectedDf<-rbind(concatIntersectedDf, + intersectAlocation( + dirPath = dirList[i], workflowNames = workflowNames, location = locations[i]) + ) + } + concatIntersectedDf$location<-factor(concatIntersectedDf$location) + concatIntersectedSf<-concatIntersectedDf %>% st_as_sf() + return(concatIntersectedSf) +} \ No newline at end of file diff --git a/R/importLCZvect.R b/R/importLCZvect.R index d5a4a51..4d43819 100644 --- a/R/importLCZvect.R +++ b/R/importLCZvect.R @@ -1,3 +1,4 @@ + #' Imports Local Climate Zone classifications from a standard geographical file (tested : geojson, shp, more to come) #' #' @param dirPath is the path of the directory of the file @@ -24,18 +25,10 @@ #' and if specified, columns for the IDs of the geoms and the confidence value of the LCZ levels. #' @export #' @examples -#' redonBDTex<-importLCZvect(dirPath=paste0(system.file("extdata", package = "lczexplore"), +#' redonBDTex<-importLCZvectFromFile(dirPath=paste0(system.file("extdata", package = "lczexplore"), #' "/bdtopo_2_2/Redon"), file="rsu_lcz.geojson", column="LCZ_PRIMARY", #' geomID="ID_RSU",confid="LCZ_UNIQUENESS_VALUE") -#' showLCZ(redonBDTex) -importLCZvect<-function(dirPath, file="rsu_lcz.geojson", output="sfFile", column="LCZ_PRIMARY", - geomID="", confid="", - typeLevels=c("1"="1","2"="2","3"="3","4"="4","5"="5","6"="6","7"="7","8"="8", - "9"="9","10"="10", - "101"="101","102"="102","103"="103","104"="104", "105"="105","106"="106","107"="107", - "101"="11","102"="12","103"="13","104"="14", "105"="15", "106"="16","107"="17", - "101"="A","102"="B","103"="C","104"="D","105"="E","106"="F","107"="G"), - drop=T, verbose=FALSE){ +importLCZvectFromFile<-function(dirPath, file="rsu_lcz.geojson", column, geomID="", confid="", verbose = TRUE, drop = TRUE){ if (!file.exists(dirPath)){stop(message="The directory set in dirPath doesn't seem to exist")} fileName<-paste0(dirPath,"/",file) @@ -54,8 +47,8 @@ importLCZvect<-function(dirPath, file="rsu_lcz.geojson", output="sfFile", column badCol<-colonnes[!inCol] colErr<-c("It seems that some of the columns you try to import do not exist in the source file, are you sure you meant ", - paste(badCol),"?") - if (prod(inCol)==0){ stop(colErr) } else { + paste(badCol),"?") + if (prod(inCol)==0){ stop(colErr) } else { if (drop== TRUE) {sfFile<-sf::st_read(dsn=fileName,quiet=!verbose)[,colonnes] } else { sfFile<-sf::st_read(dsn=fileName,quiet=!verbose)[,]} } @@ -68,11 +61,107 @@ importLCZvect<-function(dirPath, file="rsu_lcz.geojson", output="sfFile", column are you sure you meant ", paste(badCol),"?") if (prod(inCol)==0){ stop(colErr) } - + } - + } + return(sfFile) +} + + +#' Imports Local Climate Zone classifications from a standard geographical file (tested : geojson, shp, more to come) +#' +#' @param dirPath is the path of the directory of the file +#' @param file is the name of the file from which the LCZ are imported +#' @param column indicates the name of the column containing LCZ values. +#' LCZ values are expected to be of a standard LCZ format (1 to 17, or 1 to 10 and 101 to 107 or 1 to G), +#' else, use the importQualVar function +#' @param geomID is the name of the column containing the ID of each geom to load. +#' If an empty string, no column is loaded. +#' @param confid is the name of the column containing a confidence indicator to filter geoms, +#' for instance the uniqueness of the LCZ level of each geom +#' @param output : if sfFile, the function returns an sfFile with the specified columns, +#' if bBox, returns a bounding box one can use to crop a raster file or to intersect another sf file +#' @param typeLevels the levels of the imported LCZ classification +#' @param verbose if TRUE show the discrepancies between specified levels of LCZ and +#' levels actually present in column +#' @param drop : the default is TRUE, which means all the column are +#' dropped excepted those specified in previous parameters +#' @import dplyr forcats rlang sf +#' @importFrom terra crop +#' @importFrom tidyr drop_na +#' @importFrom terra rast +#' @return returns an sf object containing at least the geoms and the LCZ values, +#' and if specified, columns for the IDs of the geoms and the confidence value of the LCZ levels. +#' @export +#' @examples +#' redonBDTex<-importLCZvect(dirPath=paste0(system.file("extdata", package = "lczexplore"), +#' "/bdtopo_2_2/Redon"), file="rsu_lcz.geojson", column="LCZ_PRIMARY", +#' geomID="ID_RSU",confid="LCZ_UNIQUENESS_VALUE") +#' redonBDTex2<-importLCZvectFromSf(sfIn = redonBDTex , column="LCZ_PRIMARY", +#' geomID="ID_RSU",confid="LCZ_UNIQUENESS_VALUE") +importLCZvectFromSf<-function(sfIn, column, geomID="", confid=""){ + colonnes<-c(geomID,column,confid) + colonnes<-colonnes[sapply(colonnes,nchar)!=0] + sourceCol<-names(sfIn) + inCol<-colonnes%in%sourceCol + badCol<-colonnes[!inCol] + colErr<-c("It seems that some of the columns you try to import do not exist in the source file, + are you sure you meant ", + paste(badCol),"?") + if (prod(inCol)==0){ stop(colErr)} else { sfFile<-sfIn[,colonnes]} + return(sfFile) +} + +#' Imports Local Climate Zone classifications from a standard geographical file (tested : geojson, shp, more to come) +#' +#' @param dirPath is the path of the directory of the file +#' @param file is the name of the file from which the LCZ are imported +#' @param column indicates the name of the column containing LCZ values. +#' LCZ values are expected to be of a standard LCZ format (1 to 17, or 1 to 10 and 101 to 107 or 1 to G), +#' else, use the importQualVar function +#' @param geomID is the name of the column containing the ID of each geom to load. +#' If an empty string, no column is loaded. +#' @param confid is the name of the column containing a confidence indicator to filter geoms, +#' for instance the uniqueness of the LCZ level of each geom +#' @param output : if sfFile, the function returns an sfFile with the specified columns, +#' if bBox, returns a bounding box one can use to crop a raster file or to intersect another sf file +#' @param typeLevels the levels of the imported LCZ classification +#' @param verbose if TRUE show the discrepancies between specified levels of LCZ and +#' levels actually present in column +#' @param drop : the default is TRUE, which means all the column are +#' dropped excepted those specified in previous parameters +#' @import dplyr forcats rlang sf +#' @importFrom terra crop +#' @importFrom tidyr drop_na +#' @importFrom terra rast +#' @return returns an sf object containing at least the geoms and the LCZ values, +#' and if specified, columns for the IDs of the geoms and the confidence value of the LCZ levels. +#' @export +#' @examples +#' redonBDTex<-importLCZvect(dirPath=paste0(system.file("extdata", package = "lczexplore"), +#' "/bdtopo_2_2/Redon"), file="rsu_lcz.geojson", column="LCZ_PRIMARY", +#' geomID="ID_RSU",confid="LCZ_UNIQUENESS_VALUE") +#' showLCZ(redonBDTex) +importLCZvect<-function(dirPath, file="rsu_lcz.geojson", output="sfFile", column="LCZ_PRIMARY", + geomID="", confid="", + typeLevels=c("1"="1","2"="2","3"="3","4"="4","5"="5","6"="6","7"="7","8"="8", + "9"="9","10"="10", + "101"="101","102"="102","103"="103","104"="104", "105"="105","106"="106","107"="107", + "101"="11","102"="12","103"="13","104"="14", "105"="15", "106"="16","107"="17", + "101"="A","102"="B","103"="C","104"="D","105"="E","106"="F","107"="G"), + drop=T, verbose=FALSE, sfIn = NULL){ + + if (is.null(sfIn)){ + sfFile<-importLCZvectFromFile( + dirPath = dirPath, file = file, column = column, geomID = geomID, confid = confid, + drop = drop, verbose = verbose) + } else { + sfFile<-importLCZvectFromSf(sfIn, column, geomID="", confid="") + } + + # if typeLevels is empty if (length(typeLevels)==1){ typeLevels<-unique(subset(sfFile,select=all_of(column),drop=TRUE)) @@ -110,7 +199,8 @@ if (column!=""){ sfFile <- sfFile%>% - mutate(!!column:=fct_recode(factor(subset(sfFile,select=column,drop=T),levels=typeLevels),!!!typeLevels)) %>% + mutate(!!column:=fct_recode( + factor(subset(sfFile,select=column,drop=T),levels=typeLevels),!!!typeLevels)) %>% drop_na(column) } else {stop("You must specify the column containing the LCZ")} @@ -127,4 +217,6 @@ if (column!=""){ stop("Output must be sfFile to return geoms and LCZ or bBox to return the bounding box")} } -} \ No newline at end of file +} + + diff --git a/R/intersecAlocation.R b/R/intersecAlocation.R index 1a98cec..0f70074 100644 --- a/R/intersecAlocation.R +++ b/R/intersecAlocation.R @@ -10,6 +10,9 @@ #' @export #' @examples intersectAlocation<-function(dirPath, workflowNames = c("osm","bdt","iau","wudapt"), location){ + lastPos<-nchar(dirPath) + if(substr(dirPath, start = lastPos, stop = lastPos)!="/"){dirPath<-paste0(dirPath,"/")} + typeLevels<-c("1"="1","2"="2","3"="3","4"="4","5"="5","6"="6","7"="7","8"="8", "9"="9","10"="10", "101"="101","102"="102","103"="103","104"="104", "105"="105","106"="106","107"="107", diff --git a/R/loadMultipleSf.R b/R/loadMultipleSf.R new file mode 100644 index 0000000..5f1a545 --- /dev/null +++ b/R/loadMultipleSf.R @@ -0,0 +1,37 @@ +#' In a given directory (or a list of directories) the function looks for LCZ datafiles +#' and load them in a list +#' @param dirPath is the place where the files are +#' @param workflowNames sets the names of workflows +#' @param location is the name of the location at which all LCZ are created +#' @importFrom ggplot2 geom_sf guides ggtitle aes +#' @import sf dplyr cowplot forcats units tidyr RColorBrewer utils grDevices rlang +#' @return returns graphics of comparison and an object called matConfOut which contains : +#' matConfLong, a confusion matrix in a longer form, +#' matConfPlot is a ggplot2 object showing the confusion matrix. +#' percAgg is the general agreement between the two sets of LCZ, expressed as a percentage of the total area of the study zone +#' pseudoK is a heuristic estimate of a Cohen's kappa coefficient of agreement between classifications +#' If saveG is not an empty string, graphics are saved under "saveG.png" +#' @export +#' @examples +loadMultipleSf<-function(dirPath, workflowNames = c("osm","bdt","iau","wudapt"), location ){ + typeLevels<-c("1"="1","2"="2","3"="3","4"="4","5"="5","6"="6","7"="7","8"="8", + "9"="9","10"="10", + "101"="101","102"="102","103"="103","104"="104", "105"="105","106"="106","107"="107", + "101"="11","102"="12","103"="13","104"="14", "105"="15", "106"="16","107"="17", + "101"="A","102"="B","103"="C","104"="D","105"="E","106"="F","107"="G") + sfList<-list() + for (i in workflowNames){ + inName<-paste0(dirPath, i, "_lcz.fgb") + inSf<-read_sf(inName) + names(inSf)<-tolower(names(inSf)) + inSf<-select(inSf,lcz_primary) %>% mutate( + lcz_primary=factor(lcz_primary, levels = typeLevels)) + inSf<-mutate(inSf,location = location, wf = i, .before = geometry) + # inSf$location<-location + # inSf$wf<-i + inSf$lcz_primary<-fct_recode(inSf$lcz_primary, !!!typeLevels) + sfList[[i]]<-inSf + + } + return(sfList) +} diff --git a/R/workflowAgreeAreas.R b/R/workflowAgreeAreas.R new file mode 100644 index 0000000..b9010bc --- /dev/null +++ b/R/workflowAgreeAreas.R @@ -0,0 +1,17 @@ + +#' From the output of compare multiple, cmputes which workflows agree the most regarding the area of agreement +#' @param sfMultiCompLong the output of multiple comparison function +#' @param LCZcolumns a vector which contains, the name of the columns of the classification to compare +#' @param Wfs a vector of strings which contains the names of the workflows used to produce the sf objects +#' @importFrom ggplot2 geom_sf guides ggtitle aes +#' @import sf dplyr cowplot forcats units tidyr RColorBrewer utils grDevices rlang +#' @return the pairwise agreement between workflows, sorted by decreasing agreeing areas +#' @export +#' @examples +#' +workflowAgreeAreas<-function(sfMultiCompLong){ + agreeAreas<- sfMultiCompLong%>% subset(agree) %>% group_by(whichWfs) %>% summarise(area=sum(area)) %>% arrange(desc(area)) + disagreeAreas<-sfMultiCompLong%>% subset(!agree) %>% group_by(whichWfs) %>% summarise(area=sum(area)) %>% arrange(desc(area)) + output<-list(agreeAreas=agreeAreas, disagreeAreas = disagreeAreas) + return(output) +} \ No newline at end of file diff --git a/docs/articles/joss/compareQualVar.png b/docs/articles/joss/compareQualVar.png deleted file mode 100644 index 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zmUw}gLv4#d@`+we91xfB#GTLD2=@3MkCSqFb-nnM{{f93_T6^(nFLPtW@&9ZC5Dxt z(x~oAD-W&)TW~Fb2WY&%YR$gC@7;-@9~M%c;0UYJFHB@m!0BwLio3e{M2Ua z74NzhvWsZn8olMzd>8C zmQ@}<&*gN8804+rcR11MVYa7A+z+o4KHpoB0@W(Hj6vCl(YFDgle1>K1GT6qFM(1y z_G37I_ecJ9f@`C!m@#Tv@JpN17YNzJUMC{l7*L^E=knn62Dx@kaoo4Vi%W zE6Dng4{sWOb{`Ar;Pvj5Or&ezHtFyw$J!T~6E%K2Rv55RTnSQze+|HcXe{9s26QaE zXttk;K$us!Af#D68RXZY7z h{@=5@&A% reformulate() # length(test_list) # for (i in test_list[2:3]) print(str(i)) -multicompare_test<-compareMultipleLCZ(sfList = sfList, LCZcolumns = c(rep("LCZ_PRIMARY",4),"lcz_primary"), - sfWf = c("BDT11","BDT22","OSM11","OSM22","WUDAPT"),trimPerc = 0.5) +multicompare_test<-compareMultipleLCZ(intersected, + LCZcolumns = c("BDT11","BDT22","OSM11","OSM22","WUDAPT"),trimPerc = 0.5) + +testAreas<-workflowAgreeAreas(multicompare_test$sfIntLong) +testAreas$disagreeAreas +testAreas$agreeAreas + multicompare_test -test<-multicompare_test$echIntLong -test2<-test %>% subset(agree==TRUE) %>% group_by(LCZvalue) %>% summarize(agreementArea=sum(area)) %>% mutate(percAgreementArea=agreementArea/sum(agreementArea)) +test<-multicompare_test$sfIntLong +test2<-test %>% subset(agree==TRUE) %>% group_by(LCZvalue) %>% summarize(agreementArea=sum(area)) %>% + mutate(percAgreementArea=agreementArea/sum(agreementArea)) + +testWfAgree<-test %>% subset(agree==TRUE) %>% group_by(whichWfs) %>% summarize(agreementArea=sum(area)) -test<-multicompare_test$echInt[,1:5] %>% st_drop_geometry() +test<-multicompare_test$sfInt[,1:5] %>% st_drop_geometry() prov1<-apply(X = test, MARGIN = 1, table ) prov2<-apply(X = test, MARGIN = 1, function(x) max(table(x)) ) head(prov1) head(prov2) -plot1<-showLCZ(sf = multicompare_test$echInt, column="BDT22", wf="BDT22") -plot2<-showLCZ(sf = multicompare_test$echInt, column="BDT11", wf="BDT1111") -plot3<-showLCZ(sf = multicompare_test$echInt, column="OSM22", wf="OSM22") -plot4<-showLCZ(sf = multicompare_test$echInt, column="WUDAPT", wf="WUDAPT") -plot5<-ggplot(data=multicompare_test$echInt) + +plot1<-showLCZ(sf = multicompare_test$sfInt, column="BDT22", wf="BDT22") +plot2<-showLCZ(sf = multicompare_test$sfInt, column="BDT11", wf="BDT1111") +plot3<-showLCZ(sf = multicompare_test$sfInt, column="OSM22", wf="OSM22") +plot4<-showLCZ(sf = multicompare_test$sfInt, column="WUDAPT", wf="WUDAPT") +plot5<-ggplot(data=multicompare_test$sfInt) + geom_sf(aes(fill=nbAgree, color=after_scale(fill)))+ scale_fill_gradient(low = "red" , high = "green", na.value = NA) plot_grid(plot1, plot2, plot3, plot4, plot5) diff --git a/inst/tinytest/test_createIntersect.R b/inst/tinytest/test_createIntersect.R index cb0a69b..8909edc 100644 --- a/inst/tinytest/test_createIntersect.R +++ b/inst/tinytest/test_createIntersect.R @@ -2,20 +2,19 @@ # library(tinytest) # # library(sf) - -sfBDT_11_78030<-importLCZvect(dirPath="/home/gousseff/Documents/0_DocBiblioTutosPublis/0_ArticlesScientEtThèses/ArticleComparaisonLCZGCWUDAPTEXPERTS/BDT/2011/bdtopo_2_78030", - file="rsu_lcz.fgb", column="LCZ_PRIMARY") +sfBDT_11_78030<-importLCZvect(dirPath="/home/gousseff/Documents/3_data/data_article_LCZ_diff_algos/GeoClimate/2011/bdtopo_2_78030/", + file="rsu_lcz.fgb", column="LCZ_PRIMARY") class(sfBDT_11_78030) -sfBDT_22_78030<-importLCZvect(dirPath="/home/gousseff/Documents/0_DocBiblioTutosPublis/0_ArticlesScientEtThèses/ArticleComparaisonLCZGCWUDAPTEXPERTS/BDT/2022/bdtopo_3_78030", +sfBDT_22_78030<-importLCZvect(dirPath="/home/gousseff/Documents/3_data/data_article_LCZ_diff_algos/GeoClimate/2022/bdtopo_3_78030/", file="rsu_lcz.fgb", column="LCZ_PRIMARY") -sf_OSM_11_Auffargis<-importLCZvect(dirPath="/home/gousseff/Documents/0_DocBiblioTutosPublis/0_ArticlesScientEtThèses/ArticleComparaisonLCZGCWUDAPTEXPERTS/OSM/2011/osm_Auffargis/", +sf_OSM_11_Auffargis<-importLCZvect(dirPath="/home/gousseff/Documents/3_data/data_article_LCZ_diff_algos/GeoClimate/2011/osm_Auffargis/", file="rsu_lcz.fgb", column="LCZ_PRIMARY") -sf_OSM_22_Auffargis<-importLCZvect(dirPath="/home/gousseff/Documents/0_DocBiblioTutosPublis/0_ArticlesScientEtThèses/ArticleComparaisonLCZGCWUDAPTEXPERTS/OSM/2022/osm_Auffargis/", +sf_OSM_22_Auffargis<-importLCZvect(dirPath="/home/gousseff/Documents/3_data/data_article_LCZ_diff_algos/GeoClimate/2022/osm_Auffargis/", file="rsu_lcz.fgb", column="LCZ_PRIMARY") -sf_WUDAPT_78030<-importLCZvect("/home/gousseff/Documents/0_DocBiblioTutosPublis/0_ArticlesScientEtThèses/ArticleComparaisonLCZGCWUDAPTEXPERTS/WUDAPT", - file ="wudapt_78030.geojson", column="lcz_primary") +sf_WUDAPT_78030<-importLCZvect("/home/gousseff/Documents/3_data/data_article_LCZ_diff_algos/WUDAPT/", + file ="wudapt_Auffargis.fgb", column="lcz_primary") sfList<-list(BDT11 = sfBDT_11_78030, BDT22 = sfBDT_22_78030, OSM11= sf_OSM_11_Auffargis, OSM22 = sf_OSM_22_Auffargis, WUDAPT = sf_WUDAPT_78030) -intersected<-createIntersec(sfList = sfList, columns = c(rep("LCZ_PRIMARY",4),"lcz_primary"), +intersected<-createIntersect(sfList = sfList, columns = c(rep("LCZ_PRIMARY",4),"lcz_primary"), sfWf = c("BDT11","BDT22","OSM11","OSM22","WUDAPT")) diff --git a/inst/tinytest/test_multipleCramer.R b/inst/tinytest/test_multipleCramer.R index 3186bca..a34e480 100644 --- a/inst/tinytest/test_multipleCramer.R +++ b/inst/tinytest/test_multipleCramer.R @@ -27,85 +27,88 @@ summary(intersected$area) min(intersected$area) intersected[intersected$area==0,] -testVs<-multipleCramer(intersected, columns = names(intersected)[names(intersected)!="geometry" &names(intersected)!="area"], +library(caret) +library(confintr) +testVs<-multipleCramer(intersected, + columns = names(intersected)[names(intersected)!="geometry" &names(intersected)!="area"], nbOutAssociations = 30) -testVs$signifAssoc -testVs$cramerLong %>% head(10) - -intersectedDf<-st_drop_geometry(intersected) -str(intersectedDf) -summary(intersectedDf$area) -min(intersectedDf$area) -names(intersectedDf) -dataTest<-intersectedDf[ ,names(intersectedDf)!="area"] -dataTest <- as.data.frame(lapply(X = dataTest, factor)) -summary(dataTest) -str(dataTest) -weights<-(intersectedDf$area/sum(intersectedDf$area)) -length(weights) -auffargisMCA<-MCA(X = dataTest[, names(dataTest)!="area"], ncp = 5, row.w = weights) -plot.MCA(auffargisMCA, invisible = c("ind")) - -dataTestNo107<-dataTest[apply(dataTest, 1, function(x) all(x!="107")),] -nrow(dataTestNo107) -weightsNo107<-(intersectedDf$area/sum(intersectedDf$area))[ - apply(dataTest, 1, function(x) all(x!="107"))] -length(weightsNo107) - -auffargisMCANo107<-MCA(X = dataTestNo107[,names(dataTest)!="area"], ncp = 10, graph = FALSE) -# plot.MCA(auffargisMCANo107, invisible= c("ind")) -auffargisMCANo107Weights<-MCA(X = dataTestNo107[,names(dataTest)!="area"], ncp = 10, row.w = weightsNo107, graph = FALSE) -# plot.MCA(auffargisMCANo107Weights, invisible= c("ind")) -# plot.MCA(auffargisMCANo107Weights, invisible= c("ind"), axes=c(3,4)) -# plot.MCA(auffargisMCANo107Weights, invisible= c("ind"), axes=c(5,6)) - - -fviz_mca_var( - auffargisMCANo107Weights, - choice = c("var.cat"), - axes = c(1, 2), - geom = c("point", "text"), - repel = TRUE, - col.var = "red", - alpha.var = 1, - shape.var = 17, - col.quanti.sup = "blue", - col.quali.sup = "darkgreen", - map = "symmetric", - select.var = list(name = NULL, cos2 = NULL, contrib = NULL) -) - -fviz_mca_var( - auffargisMCANo107Weights, - choice = c("var.cat"), - axes = c(3, 4), - geom = c("point", "text"), - repel = TRUE, - col.var = "red", - alpha.var = 1, - shape.var = 17, - col.quanti.sup = "blue", - col.quali.sup = "darkgreen", - map = "symmetric", - select.var = list(name = NULL, cos2 = NULL, contrib = NULL) -) - -fviz_mca_var( - auffargisMCANo107Weights, - choice = c("var.cat"), - axes = c(5, 6), - geom = c("point", "text"), - repel = TRUE, - col.var = "red", - alpha.var = 1, - shape.var = 17, - col.quanti.sup = "blue", - col.quali.sup = "darkgreen", - map = "symmetric", - select.var = list(name = NULL, cos2 = NULL, contrib = NULL) -) - - -str(auffargisMCANo107) - +# testVs$signifAssoc +# testVs$cramerLong %>% head(10) +# +# intersectedDf<-st_drop_geometry(intersected) +# str(intersectedDf) +# summary(intersectedDf$area) +# min(intersectedDf$area) +# names(intersectedDf) +# dataTest<-intersectedDf[ ,names(intersectedDf)!="area"] +# dataTest <- as.data.frame(lapply(X = dataTest, factor)) +# summary(dataTest) +# str(dataTest) +# weights<-(intersectedDf$area/sum(intersectedDf$area)) +# length(weights) +# auffargisMCA<-MCA(X = dataTest[, names(dataTest)!="area"], ncp = 5, row.w = weights) +# plot.MCA(auffargisMCA, invisible = c("ind")) +# +# dataTestNo107<-dataTest[apply(dataTest, 1, function(x) all(x!="107")),] +# nrow(dataTestNo107) +# weightsNo107<-(intersectedDf$area/sum(intersectedDf$area))[ +# apply(dataTest, 1, function(x) all(x!="107"))] +# length(weightsNo107) +# +# auffargisMCANo107<-MCA(X = dataTestNo107[,names(dataTest)!="area"], ncp = 10, graph = FALSE) +# # plot.MCA(auffargisMCANo107, invisible= c("ind")) +# auffargisMCANo107Weights<-MCA(X = dataTestNo107[,names(dataTest)!="area"], ncp = 10, row.w = weightsNo107, graph = FALSE) +# # plot.MCA(auffargisMCANo107Weights, invisible= c("ind")) +# # plot.MCA(auffargisMCANo107Weights, invisible= c("ind"), axes=c(3,4)) +# # plot.MCA(auffargisMCANo107Weights, invisible= c("ind"), axes=c(5,6)) +# +# library(factoextra) +# fviz_mca_var( +# auffargisMCANo107Weights, +# choice = c("var.cat"), +# axes = c(1, 2), +# geom = c("point", "text"), +# repel = TRUE, +# col.var = "red", +# alpha.var = 1, +# shape.var = 17, +# col.quanti.sup = "blue", +# col.quali.sup = "darkgreen", +# map = "symmetric", +# select.var = list(name = NULL, cos2 = NULL, contrib = NULL) +# ) +# +# fviz_mca_var( +# auffargisMCANo107Weights, +# choice = c("var.cat"), +# axes = c(3, 4), +# geom = c("point", "text"), +# repel = TRUE, +# col.var = "red", +# alpha.var = 1, +# shape.var = 17, +# col.quanti.sup = "blue", +# col.quali.sup = "darkgreen", +# map = "symmetric", +# select.var = list(name = NULL, cos2 = NULL, contrib = NULL) +# ) +# +# fviz_mca_var( +# auffargisMCANo107Weights, +# choice = c("var.cat"), +# axes = c(5, 6), +# geom = c("point", "text"), +# repel = TRUE, +# col.var = "red", +# alpha.var = 1, +# shape.var = 17, +# col.quanti.sup = "blue", +# col.quali.sup = "darkgreen", +# map = "symmetric", +# select.var = list(name = NULL, cos2 = NULL, contrib = NULL) +# ) +# +# +# str(auffargisMCANo107) +# diff --git a/man/compareLCZ.Rd b/man/compareLCZ.Rd index 26d6732..3514e6a 100644 --- a/man/compareLCZ.Rd +++ b/man/compareLCZ.Rd @@ -2,7 +2,7 @@ % Please edit documentation in R/compareLCZ.R \name{compareLCZ} \alias{compareLCZ} -\title{Compares two set of geographical classifications, especially Local Climate Zones classifications. It +\title{Compares two sets of geographical classifications, especially Local Climate Zones classifications. It produces a map for each classification, a map of their agreement (and a pseudo Kappa coefficent), and a confusion matrix between them. All are stored in a list, easily reusable.} \usage{ @@ -91,7 +91,7 @@ pseudoK is a heuristic estimate of a Cohen's kappa coefficient of agreement betw If saveG is not an empty string, graphics are saved under "saveG.png" } \description{ -Compares two set of geographical classifications, especially Local Climate Zones classifications. It +Compares two sets of geographical classifications, especially Local Climate Zones classifications. It produces a map for each classification, a map of their agreement (and a pseudo Kappa coefficent), and a confusion matrix between them. All are stored in a list, easily reusable. } diff --git a/man/importLCZvect.Rd b/man/importLCZvect.Rd index 43f876f..b132f2d 100644 --- a/man/importLCZvect.Rd +++ b/man/importLCZvect.Rd @@ -17,7 +17,8 @@ importLCZvect( "12", `103` = "13", `104` = "14", `105` = "15", `106` = "16", `107` = "17", `101` = "A", `102` = "B", `103` = "C", `104` = "D", `105` = "E", `106` = "F", `107` = "G"), drop = T, - verbose = FALSE + verbose = FALSE, + sfIn = NULL ) } \arguments{

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