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| import sys | |
| import shutil | |
| import requests | |
| from datetime import datetime | |
| if len(sys.argv) != 3 : | |
| print "Usage: python retrieve_cam.py url name" | |
| sys.exit (1) | |
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| photo_ls=list.files(path = "images", pattern = "jpg",all.files=T,full.names = T, recursive =T,ignore.case = T) | |
| image2html=function(file_image,alt="photo") { | |
| lsfileh=gsub("\\....$",".html",file_image) | |
| lsfileh=gsub(".*./","",lsfileh) | |
| write(paste0('<!DOCTYPE html><html><body><img src="',file_image,'"'," ",'alt="',alt,'"></body></html>'),file=lsfileh) | |
| } | |
| res=sapply(photo_ls,function(x) image2html(x)) |
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| segmented_lines=function(lines) { | |
| cSl <- coordinates(lines) | |
| in_nrows <- lapply(cSl, function(x) sapply(x, nrow)) | |
| outn <- sapply(in_nrows, function(y) sum(y-1)) | |
| res <-list() | |
| i <- 1 | |
| for (j in seq(along=cSl)) { | |
| for (k in seq(along=cSl[[j]])) { | |
| for (l in 1:(nrow(cSl[[j]][[k]])-1)) { |
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| # devtools::install_github("mccreigh/rwrfhydro") | |
| library(raster) | |
| library(mapview) | |
| library(htmlwidgets) | |
| library(rwrfhydro) | |
| # HGT.nc is wrfout netcdf file |
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| # put password of NASA services | |
| library(ASIP) | |
| retrieve_aster_hdf=function(file,user='',password='') | |
| {download.file(url=paste0("http://e4ftl01.cr.usgs.gov/ASTT/AST_L1T.003/", | |
| substr(file,16,19),".", | |
| substr(file,12,13),".", | |
| substr(file,14,15), | |
| "/",file,'.hdf'), |
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| stack_MODIS_MOD13Q1=function(x,pixelreliab=0,file.remove=F) { | |
| require(MODIS) | |
| require(gdalUtils) | |
| require(rgdal) | |
| mod <- getSds(x,method="gdal") | |
| names=list(gsub(".hdf","_NDVI.tif",x),gsub(".hdf","_EVI.tif",x),gsub(".hdf","_RELIAB.tif",x),gsub(".hdf","_NDVI_Q.tif",x),gsub(".hdf","_EVI_Q.tif",x)) | |
| ndvi <- raster(readGDAL(mod$SDS4gdal[1], as.is=TRUE))*0.0001 |
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| calc_climatology_stack=function(temp) { | |
| require(raster) | |
| res=list() | |
| res$mean_WT=calc(temp,mean,na.rm=T); | |
| res$sd_WT=calc(temp,sd,na.rm=T); | |
| res$q33=calc(temp,fun=function(x) quantile(x,probs=c(0.33),na.rm=T)); | |
| res$median=calc(temp,fun=function(x) quantile(x,probs=c(0.5),na.rm=T)); | |
| res$q66=calc(temp,fun=function(x) quantile(x,probs=c(0.66),na.rm=T)); | |
| return(res) | |
| } |
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| aa=read.csv("2.csv",header = F) | |
| # V1 dist | |
| # V2 quota | |
| attach(aa) | |
| piece.formula <- function(var.name, knots) { | |
| formula.sign <- rep(" - ", length(knots)) | |
| formula.sign[knots < 0] <- " + " | |
| paste(var.name, "+", | |
| paste("I(pmax(", var.name, formula.sign, abs(knots), ", 0))", |
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| require(gdalUtils) | |
| require(rgdal) | |
| require(rgeos) | |
| require(Hmisc) | |
| require(overpass) | |
| #' retrieve_adm3_bound | |
| #' | |
| #' @description Retrieve by Overpass API query the bounding box of italian municipalities | |
| #' |
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| pandoc -s -S --bibliography biblioHeatwave.bib --csl=copernicus-publications.csl -f latex -o twit_caldo.docx template.tex |