https://la-cascade.io/le-positionnement-css/
https://la-cascade.io/la-difference-entre-block-et-inline/
http://www.alsacreations.com/tuto/lire/608-initiation-au-positionnement-css-partie-2.html
Cyril Bernard cybernar
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| # snippets R raster | |
| library(raster) | |
| # creer raster vide type entier 60 x 80 km, res 500 m | |
| rvide.crs <- CRS("+init=EPSG:2154") | |
| rvide.ext <- extent(c(688500,748500,6292500,6372500)) | |
| rvide.val <- rep(0, 120*160) | |
| rvide <- raster(crs=rvide.crs, ext=rvide.ext, resolution=500, vals=rvide.val) | |
| writeRaster(rvide, filename="D:/GIS_DATA/HomeRange/RSpatial/reference_grid2.asc", format="ascii", datatype='INT2S', NAflag=-9999) |
cybernar
/ cssmemo.md
Last active
October 28, 2016 13:36
cybernar
/ postgis.sql
Created
November 3, 2016 10:16
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| CREATE TABLE carto.parcelles | |
| ( | |
| num_fiche serial NOT NULL, | |
| date_debut date, | |
| date_fin date, | |
| surface numeric(10, 2), | |
| personnes text, | |
| code_dept character(10), | |
| laboratoire text, |
cybernar
/ ncdf_extract_values.R
Last active
November 23, 2016 12:10
Extract values at XY position from NetCDF file
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| library(raster) | |
| library(ncdf4) | |
| library(maptools) | |
| # netcdf file from ftp://aspen.atmos.albany.edu/pdsi/cmip5/scPDSIpm/pdsisc.monthly.maps.1900-2099.r2.5x2.5.EnsAvg14Models.TP2.ipe=2.nc | |
| # shp file from http://www.naturalearthdata.com/http//www.naturalearthdata.com/download/50m/cultural/ne_50m_airports.zip | |
| # load netcdf file as a raster brick | |
| f <- "D:/bacasable/pdsisc.monthly.maps.1900-2099.r2.5x2.5.EnsAvg14Models.TP2.ipe=2.nc" | |
| rbr <- brick(f, varname="pdsisc") |
cybernar
/ trek_georgie_2018.geojson
Created
September 21, 2018 20:52
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cybernar
/ S2_reflectance.R
Created
January 21, 2019 18:29
Process Sentinel2 reflectance data from Theia
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| ## CALCUL NDVI avec masque nuages | |
| ## Image couleur naturel Sentinel2 | |
| library(raster) | |
| library(rgdal) | |
| library(stringr) | |
cybernar
/ random_walk.R
Created
January 21, 2019 19:01
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| # random walk | |
| f_point_in_circle <- function(x_from, y_from, step_dist=10, step_number=100) { | |
| angle <- runif(step_number, 0, 360) | |
| x_diff <- step_dist * cos(angle) | |
| y_diff <- step_dist * sin(angle) | |
| x_pos <- x_from + cumsum(x_diff) | |
| y_pos <- y_from + cumsum(y_diff) | |
| cbind(x=x_pos, y=y_pos) | |
| } |
cybernar
/ gisdata2019.md
Last active
March 27, 2021 09:49
cybernar
/ display_ff_bookmarks.html
Last active
February 8, 2019 18:09
Display Firefox bookmarks (after exporting them to json)
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| <!DOCTYPE html> | |
| <html lang="fr"> | |
| <head> | |
| <meta charset="utf-8" /> | |
| <!-- | |
| <link rel="stylesheet" href="design.css" /> | |
| <script src="script.js"></script> | |
| --> | |
| <script src="bookmarks-2019-02-08.js"></script> | |
| <link rel="stylesheet" type="text/css" href="https://fonts.googleapis.com/css?family=Roboto"> |
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| # genere sf à partir de data.frame | |
| df2sf <- function(df, x_col, y_col, epsg) { | |
| geomdef <- paste0("POINT(", df[[x_col]], " ", df[[y_col]],")") | |
| sfc <- st_as_sfc(geomdef, epsg) | |
| st_geometry(df) <- sfc | |
| df | |
| } | |
| # autre solution | |
| sf_points <- st_as_sf(df, crs=4326, coords=c("longitude", "latitude"), remove=FALSE) |
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