This is the code you need to align images to the left:
import geopands as gpd | |
from shapely.geometry.polygon import Polygon | |
from shapely.geometry.multipolygon import MultiPolygon | |
def explode(indata): | |
indf = gpd.GeoDataFrame.from_file(indata) | |
outdf = gpd.GeoDataFrame(columns=indf.columns) | |
for idx, row in indf.iterrows(): | |
if type(row.geometry) == Polygon: | |
outdf = outdf.append(row,ignore_index=True) |
Copyright 2020 Aubrey Taylor | |
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The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. | |
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# Often when reading in a ShapeFile from Basemap, you'll get: "ValueError: readshapefile can only handle 2D shape types" | |
# A trick can be to convert your geometry in your GeoPandas Dataframe and restoring the new flattened 2D geometry | |
# series back into a shapefile and try again. | |
# edit from http://stackoverflow.com/questions/33417764/basemap-readshapefile-valueerror | |
from shapely.geometry import Polygon, MultiPolygon, shape, Point | |
import geopandas as gp | |
def convert_3D_2D(geometry): | |
''' |
xx <- seq(2667400, length = ncol(volcano), by = 10)
yy <- seq(6478905, length = nrow(volcano), by = 10)
image(xx, yy, t(volcano[,ncol(volcano):1]), asp = 1)
Created on 2020-05-10 by the reprex package (v0.3.0)
#### 1. Sign up at GitHub.com ################################################ | |
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## https://github.com/join | |
# ---------------------------------------------------------------------------- | |
#### 2. Install git ########################################################## | |
## If you do not have git installed, please do so: |
alos <- "/vsicurl/https://opentopography.s3.sdsc.edu/raster/AW3D30/AW3D30_global.vrt" | |
##eng_wales in Hugh's example (but I reduce the dimensions, for now) | |
g <- list(extent = c(82667.22, 655646.4, 5337.574, 657533.7), dimension = c(28575, 29006), projection = "EPSG:27700") | |
library(gdalio) | |
gdalio_set_default_grid(g) | |
source(system.file("raster_format/raster_format.codeR", package = "gdalio", mustWork = TRUE)) | |
r <- gdalio_raster(alos) | |
library(geojsonsf) | |
library(sf) | |
library(rayrender) | |
#Data source: https://github.com/telegeography/www.submarinecablemap.com | |
cables = geojson_sf("cable-geo.json") | |
cablescene = list() | |
counter = 1 | |
for(i in 1:length(cables$geometry)) { |
library(sf)
#> Linking to GEOS 3.9.1, GDAL 3.3.2, PROJ 7.2.1
edge0 <- function(x, y, ndiscr = 18) {
dx <- if(length(x) > 1) diff(x) else diff(y)
sf::st_set_crs(sf::st_segmentize(sf::st_sfc(sf::st_linestring(cbind(x, y))), dx/ndiscr),
"OGC:CRS84")
}
north <- function(x = c(-180, 180), y = 90, ndiscr = 18) {
edge0(x, y, ndiscr)
working on the full-affine approach to warping a zoom, from the rasterio quickstart
https://rasterio.readthedocs.io/en/latest/topics/reproject.html#reprojecting-a-geotiff-dataset
this is very rough, just a bit of exploration and reference for me to expand elsewhere ...
f <- '/vsicurl/https://github.com/rasterio/rasterio/raw/master/tests/data/RGB.byte.tif'