Special thanks again to jvectormap for creating the base converter for this. I have flushed out the documentation a little more for any Python newbies out there ( like myself ).
Creating maps is actually a bit of work, and should really only be done by those familiar with Python & a Terminal Window, as these are the tools you will need to create maps. If you are OK with this, here is what you need to know to get started:
You will need to have the following installed:
- Python ( 2.7+ )
- GDAL ( OS Binary )
- GDAL ( Python Package )
- Shapely ( Python Package )
- Booleano ( Python Package )
Download & Install Python by clicking one of the Download Python buttons on the Python Website. We are using v2.7.10
.
Open a Terminal window and make sure Python installed correctly by typing the following:
which pip
which should return something like ( if it did not, you did not install Python correctly ):
/Library/Frameworks/Python.framework/Versions/2.7/bin/pip
You may also wish to update PIP to disable upgrade warnings in the future:
pip install --upgrade pip
Now we need to install the GDAL/OGR binaries and follow the steps they layout for your designated OS.
OSX:
Download and install the GDAL 1.11 Complete Package.
Alternatively, If you have Homebew installed, you can run the following, though I personally had issues with it working 100%
brew update
brew install gdal
Windows:
You should be able to run Maptools custom MS4W installer to get everything you need.
With Python & GDAL Binaries installed, we can now install the required Python packages via the following Terminal Commands:
sudo easy_install GDAL
pip install shapely
pip install booleano
Note: If you have issues installing a Python Package, please visit the links in the Requirements Overview for detailed install instructions.
Before you can create custom maps, you need to download the vector data from the source. You will need to use a search engine to find the Shapefile for the map you want to create. This can usually be done by just searching for something like "New York Shapefile" or "Syria Shapefile" in Google.
Once you have the Shapefile you want, just download it and copy the unzipped directory of files you want to the ./create/source
folder in this project.
If you would like to test the sample map config files we have in this project, you will need to download the following ( which are also good sources for maps in general ):
-
SHP/GeoDB Vector Themes from Natural Earth. Unzip the
natural_earth_vector.zip
file and copy the entirenatural_earth_vector
folder to the./create/source
folder in this project. TIP: If you plan on using this source,code_field
isiso_a3
andname_field
isname_long
. -
Global Administrative Areas has an updated Shapefile for pretty much every country. Just select the
Country
you want ( for this example,Syria
) and setFile format
toShapefile
and press theOK
button to download. This will take you to a download page. Click thedownload
link and save the zip file. For this example, unzip theSYR_adm_shp.zip
file and copy the entireSYR_adm_shp
folder to the./create/source
folder in this project. TIP: If you plan on using this source,code_field
isISO
andname_field
isNAME_ENGLI
. -
New York - Borough Boundaries (Clipped to Shoreline) from the NYC.gov website. Unzip the
nybb_15d.zip
file and copy the entirenybb_15d
folder to the./create/source
folder in this project.
As detected by @andreasspeck you will need to add the following Environmental Variable to create more complex maps without issues. In a Terminal Window, run the following command before attempting to create a map:
export OGR_ENABLE_PARTIAL_REPROJECTION=TRUE
If you plan on creating multiple maps in the future, you may wish to just add that line above to your profile by editing your .bash_profile
, .profile
or .zshrc
file ( whatever you are using OS ).
If you choose to edit your profile, make sure you run the source command to add it to your current Terminal session.
source .bash_profile
You can create a custom JSON file and save it in the ./create/config
folder.
A sample my-map.json
configuration file would look something like this:
[
{
"name": "read_data",
"file_name": "./source/some-folder/some-file.shp"
},
{
"name": "write_data",
"format": "jqvmap",
"file_name": "./output/jquery.vmap.my-map.js",
"params": {
"code_field": "iso_column",
"name_field": "name_column",
"name": "my-map"
}
}
]
You will need to pay special attention to what the code_field
and name_field
parameters are, as these are what are used in the map creator. These are usually found along side your .shp
file as either an .csv
file or .xml
. You might need to use a DBF Viewer to view the .dbf
file if a CSV & XML don't exists.
For code_field
you are just looking for the column name that has the ISO Code ( 2-3 letters ).
For name_field
you are just looking for the column name that has the ISO Name ( English Name ).
Once you have created a config file, and set the file_name
for read_data
and write_data
, you can run the following command in a Terminal Window.
cd /path/to/jqvmap/create
python jqvmap.py config/my-map.json
The map creator will output the new JQVMap files into the ./create/output
folder.
We have already setup a few custom config files for you to play with. With a Terminal Window open, run the following commands ( make sure to change /path/to/jqvmap
to wherever you have this project installed. ):
cd /path/to/jqvmap/create
python jqvmap.py config/continent.json
python jqvmap.py config/new-york.json
python jqvmap.py config/syria.json
The following are the complete list of JSON configuration options for you to use. Make sure to look at the samples in the config folder to get an idea on how to use these with your map.
Command | Config | Option | Description |
---|---|---|---|
read_data |
Read geometries from GIS data file | ||
file_name |
The name of the file to read | ||
longitude0 |
Central meridian coordinate | ||
projection |
The map projection to use, currently implemented projections are merc (Mercator), mill (Miller Cylindrical), aea (Albers Equal Area) & lcc (Lambert Conformal Conic) |
||
write_data |
Writes geometries to file | ||
file_name |
The name of the file to write | ||
format |
Format of data to write, jqvmap for JQVMap compatible format, no value for OGR format |
||
params |
Hash with parameters to supply to writer, the following parameters are used in case of jqvmap format: | ||
code_field |
Name of field to use as a region code | ||
name_field |
Name of field to use as a region name | ||
name |
Map base name | ||
union |
Merges geometries with the same value for one field | ||
by |
The name of the field to merge geometries by | ||
join_data |
Adds or rewrites properties for geoemtry based on equal values in another field, works similar to JOIN operation from SQL | ||
data |
This could raw data to join or file name of CSv file with data to load | ||
fields |
Array describing fields, which data contains | ||
on |
Field to match to join data | ||
remove |
Removes geometries and their properties based on logical expression | ||
where |
Expression to evaluate for each geometry | ||
remove_fields |
Removes fields and associated properties | ||
fields |
Array with field names to remove | ||
remove_other_fields |
Removes all fields and associated properties except the ones provided | ||
fields |
Array with field names to preserve | ||
buffer |
Removes (erosion) or adds (dilation) zone around every geoemtry | ||
distance |
|||
resolution |
|||
simplify_adjancent_polygons |
Simplifies polygons taking topology into account (shared borders remain shared after operation) | ||
tolerance |
Simplification tolerance | ||
intersect_rect |
Cuts out everything beyond boubdaries of supplied rectangle | ||
rect |
Array with four values, defining left-top and right-bottom corners of rectange | ||
remove_small_polygons |
Removes polygons which area is less than supplied value | ||
minimal_area |