I am new to GIS and I am trying to deploy my own off-line map server.
I have found very interesting open source tools like: geoserver.
I have downloaded OpenStreetMap data from geofabrik.de
In the packages I downloaded from geofabrik we find different layers with diffrent information: landuse, natural, places, railways ... but not the base map i.e: the geographic map with country border and no other information.
My question is:
How can I get (download) this base map layer in order to use it off-line?
Thanks for any help.
I had exactly the same project recently. I tried several world maps (CloudMate, NaturalEarth) to put under geofabrik extractions. Most of them didn't have enough resolution to display properly on higher zoom levels.
Finally, I found ThinkGeo extractions. It contains a "complete world landmass polygons" layer, which is good enough for a background layer on any zoom levels. It turned out that ThinkGeo extractions for separate countries contain country borders and have higher quality than geofabrik. (I experienced missing objects with geofabrik.)
So I came up a solution displaying the landmass layer, and some of the countries depending on the focus of the project.
I'd recommend you to try ThinkGeo. They do weekly update on data.
Related
I'm currently working on my bachelor's thesis and I am trying to work with Sentinel 5 - P's aerosol data.
I am trying to obtain Aerosol Layer Height (L3__AER_LH) data but I do not know the bands, which I need to 'select'.
The README file on L3__AER_LH reads as follows:
The data file contains the aerosol_mid_pressure and aerosol_mid_height which provide the
air pressure at the center of the aerosol layer and the height at the center of the aerosol layer relative
to the geoid, respectively.
But when I try running: .select('absorbing_aerosol_index'); I get no results.
Therefore, I have tried using print(collection.bandNames); but I recieve an 'undefined'.
Could someone help me obtain L3__AER_LH data from GEE?
Thank you for your time.
Therefore, I have tried using print(collection.bandNames); but I recieve an 'undefined'.
The best way to find out about bands programmatically is to look at the band names of one image, because band information for a collection is sometimes incomplete.
print(collection.first().bandNames());
That said, for datasets from the Earth Engine Data Catalog, you'll get documentation as well as the names by looking at their catalog pages (example), so doing so is a better option in that case.
That page tells you that the band names for L3_AER_LH (as provided by Earth Engine) include aerosol_pressure and aerosol_height.
I would like to use ggmap to plot several data points on top of a koppen-geiger climate map.
The kopper-geiger data and GIS/KMZ maps can be downloaded here:
http://koeppen-geiger.vu-wien.ac.at/present.htm
I've managed to have a code to plot the points on regular maps, obtained through the get_map function but I fail to use other maps such as koppen-geiger.
Any help will be appreaciated!
Your basic problem is that the map you are attmepting to use is an image file that is not georeferenced. So unless you want to go through the unnecessary and probably time consuming process of georeferencing this image yourself, you will be better taking an alternative approach. There are perhaps a few ways to do this. But, unless you have very few data points to overlay on the map which you can place manually using the lat-long grid of the image, then the least painful method will certainly be to redraw the map yourself using the shapefile.
This is not the right place to give you an introductory lesson on GIS, but the basic steps are to
Download shapefile (which is available at the same website as the image you linked)
Project map to desired coordinate system
Plot map, coloring by climate class
Color the ocean layer
Add labels, legend, and graticule, as desired
Overplot with your own climate data, and legend for these.
If you are unsure how to approach any of these steps, then take an introductory course on GIS, and search the Web for instructional materials. You may find this resource useful.
https://cran.r-project.org/doc/contrib/intro-spatial-rl.pdf
I have the following SpatialPolygonsDataFrame.
require(raster)
usa <- getData('GADM', country='USA', level=2)
metro <- subset(usa, NAME_1=="Nebraska" & NAME_2 %in% c("Dodge","Douglas","Sarpy","Washington"))
plot(metro)
I would like to be able to replicate the following map boundaries (defined by the colors):
Does anyone know a good plan of attack? I realize this is a somewhat manual process. I have already downloaded all US Census files that are of a more detailed geography. I was hoping that a more detailed level of geography could be aggregated to answer the above question, but unfortunately the districts do not line up the same.
Is there a R function already out there that would be helpful in assisting this manual process? At the very minimum, I would like to be able to leverage the perimeter of the 4-county area.
Use writeOGR from the rgdal package to create a shapefile of your metro object. Then install QGIS (http://www.qgis.org/), a free and open-source GIS, and load the shapefile as a new layer.
Then you can edit the layer, add new polygons, edit lines etc, then save as a shapefile to read back into R.
Additionally, you may be able to "georeference" your image (by identifying known lat-long points on the image) and load that into QGIS as a raster layer. That makes it easier to digitise your new areas. All you need for that is a few lat-long coordinates of specific points, such as the corners of polygons or line intersections, and then QGIS has a georeferencing plugin that can do it.
I don't think you'll find any R code as suitable for digitising new geometries over an image as good as QGIS.
After half an hour (and twenty years experience, not all of which you'll need) I've got this:
I didn't precisely digitise your new boundaries though, just roughly for speed. That QGIS screen cap shows the five coloured areas under the four metro areas.
Step one was georeferencing. This screengrab shows how the PNG has been georeferenced - the red line is the metro area shapefile drawn with transparency over the PNG after the PNG has been converted to a GeoTIFF by matching control points.
Step two was then using QGIS editing tools to split, join, and create new polygons. Then I just coloured them and added labelling to pretty it up.
I could probably bundle these files all up for you to neaten, but it really doesn't take that long and you'll learn a lot from doing it. Also, this is probably a gis.stackexchange.com question...
Please help me to find nautical charts symbols, used on nautical navigation maps in vector format. I have found following PDF: http://pdept.cgaux.org/Documents/Active/NS/Charts/Chart_No_1_Full.pdf
It contains all symbols I need, but unfortunately they are all in raster.
I take a look to the OpenStreetMap & OpenSeaMap and similar OpenSource projects, but unable to solve my problem. And I feel sense that redrawing such symbols from raster PDF itself is not a good idea and looks like reinventing the wheel...
You already looked at the right places. OpenSeaMap seems to have its SVG icon repository here (recursively browse through the subdirectories, there are multiple icon locations). Furthermore there is a marine tagging proposal in the OpenStreetMap wiki also containing lots of different marine icons in SVG format (also browse through the various links there which might lead to more icons). And then there is FreieTonne, a similar project to OpenSeaMap, for which I couldn't determine the location of their icon set.
In all cases keep the licenses for the specific icon sets in mind.
I have a bunch of data on Dutch individuals that I would like to visualize with a choropleth map. I also have the location of the individuals (longitude and latitude), so I was hoping that it would be possible to visualize that on a Dutch map that is divided into municipalities (="gemeente" in Dutch), so I can color each municipality according to the mean value of all individuals living there. I know that the R package maptools can make choropleth maps, but I believe that it requires template maps in the form of a .shp file. Does anyone know where I could find such a template for the Netherlands? Preferably with municipalities and NOT per province, so for this image it would be the one on the left:
(source: www.kb.nl)
Any suggestions for other packages/software/etc to do this are also welcome! Many thanks!
also try GADM: http://www.gadm.org/
This site is an excellent resource, extra bonus: .Rdata is one of the formats you can download in (containing a SpatialPolygonsDataFrame). They also have .shp format, for your case.
Your main problem will be finding a shapefile for the municipalities. Once you have that and can easily relate your data at the lat/long level to the municipalities, then plotting becomes easy.
ggplot2 is a fantastic example.
Choropleths in R is a potential example, because it does not use shapefiles, but I believe the maps package supports it
Failing that, you could always try Weave
There are various .shp files for the Netherlands here:
http://www.eea.europa.eu/data-and-maps/data/eea-reference-grids/
You might also be able to find the municipalities layer on GeoCommons and join your data with one of those layers. GeoCommons makes it really easy to make many different choropleth maps quickly.
Another source for shapefiles at Eurostat is here. However, with a restrictive license, and I believe only at NUTS3 level (I did not look at it, though).
Open Streetmap does contain administrative boundaries,but not as polygons. Here is a report about how to transform boundaries to polygons. (I did not try)
You can find recent official Dutch maps here: https://www.pdok.nl/nl/producten/pdok-downloads/basis-registratie-kadaster/bestuurlijke-grenzen-actueel in .gml and .xsd formats (not in .shp unfortunately). National borders, province and municipality.