Gregor Aisch gka

## processing-jython.sublime-build
{
    "env": {
        "CLASSPATH": ".:/usr/local/lib/processing/core.jar"
    },
    "cmd": ["jython", "$file"]
}

## cameroon.json
{
    "proj": {
        "id": "laea"
    },
    "layers": [
    {
        "id": "commune",
        "src": "arrondissements.shp",
        "simplify": 1.3,
        "attributes": ["commune", "arrondisse", "departemen", "region"]

## data.csv
	1995	2000	2005	2010
Germany	29	25	28	29
France	29	28	28	30
Greece	35	33	33	33

## delimited.js
(function(global, _) {

  var Miso = (global.Miso || (global.Miso = {}));

  /**
   * Smart delimited data parser.
   * - Handles CSV and other delimited data.
   * - Includes auto-guessing of delimiter character if delimiter is set to "auto"
   * Parameters:
   *   options

## italia.yaml
proj:
    id: satellite
    lat0: 33
    lon0: 15
    dist: 1.1
    up: 11
layers:
-   special: graticule
    latitudes: [30,32,34,36,38,40,42,44,46,48,50]
    longitudes: [5,7.5,10,12.5,15,17.5,20]

## berlin.svg

      
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                gka
                / berlin.svg
            
            
              Created
              July 10, 2012 12:24
            
              
                Berlin Street Map (PostGIS, OSM)
              
          
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## index.html
<!DOCTYPE html>
<html>
<meta charset="utf-8">
<style>

body {
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
  padding: 14px;
}

## join_osm_roads.py

from psycopg2 import connect
from shapely.wkb import loads, dumps
from shapely.ops import linemerge
from osgeo import ogr
from osgeo.osr import SpatialReference
import os

db = connect('dbname=osm')
cur = db.cursor()

## gist:3098831
from psycopg2 import connect
from shapely.wkb import loads, dumps
from shapely.ops import linemerge
from osgeo import ogr
from osgeo.osr import SpatialReference
import os

db = connect('dbname=osm-czech')
cur = db.cursor()
types = "'motorway'"

## qgis2kartograph.py
# Very first draft of a Kartograph config generator for QGis

from qgis.core import *
import json


def hexcol(c):
    return '#%02x%02x%02x' % (c.red(), c.green(), c.blue())
	{
	"env": {
	"CLASSPATH": ".:/usr/local/lib/processing/core.jar"
	},
	"cmd": ["jython", "$file"]
	}
	{
	"proj": {
	"id": "laea"
	},
	"layers": [
	{
	"id": "commune",
	"src": "arrondissements.shp",
	"simplify": 1.3,
	"attributes": ["commune", "arrondisse", "departemen", "region"]
	1995 2000 2005 2010
	Germany 29 25 28 29
	France 29 28 28 30
	Greece 35 33 33 33
	(function(global, _) {

	var Miso = (global.Miso \|\| (global.Miso = {}));

	/**
	* Smart delimited data parser.
	* - Handles CSV and other delimited data.
	* - Includes auto-guessing of delimiter character if delimiter is set to "auto"
	* Parameters:
	* options
	proj:
	id: satellite
	lat0: 33
	lon0: 15
	dist: 1.1
	up: 11
	layers:
	- special: graticule
	latitudes: [30,32,34,36,38,40,42,44,46,48,50]
	longitudes: [5,7.5,10,12.5,15,17.5,20]
	<!DOCTYPE html>
	<html>
	<meta charset="utf-8">
	<style>

	body {
	font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
	padding: 14px;
	}

	from psycopg2 import connect
	from shapely.wkb import loads, dumps
	from shapely.ops import linemerge
	from osgeo import ogr
	from osgeo.osr import SpatialReference
	import os

	db = connect('dbname=osm')
	cur = db.cursor()
	# Very first draft of a Kartograph config generator for QGis

	from qgis.core import *
	import json


	def hexcol(c):
	return '#%02x%02x%02x' % (c.red(), c.green(), c.blue())