Maning Sambale maning

Mabuhay!

Welcome to the Open Source for Geography developers training.

This week we will learn about the basic building blocks for web based gis systems and desktop analysis tools. We will cover topics such as Git/Github, Postgis, GeoServer, Tilemill, GeoNode, QGIS and Inasafe. During the training, there will be tutorials on each of the tools and will work together on a prototype for a web based flood impact analysis tool.

This gist will be both our agenda and minutes document. It contains links to the training materials as well as the description of each activity.

This is my default career advice for people starting out in geo/GIS, especially remote sensing, adapted from a response to a letter in 2013.

I'm currently about to start a Geography degree at the University of [Redacted] at [Redacted] with a focus in GIS, and I've been finding that I have an interest in working with imagery. Obviously I should take Remote Sensing and other similar classes, but I'm the type of person who likes to self learn as well. So my question is this: What recommendations would you give to a student who is interested in working with imagery? Are there any self study paths that you could recommend?

I learned on my own and on the job, and there are a lot of important topics in GIS that I don’t know anything about, so I can’t give comprehensive advice. I haven’t arrived anywhere; I’m just ten minutes ahead in the convoy we’re both in. Take these recommendations critically.

Find interesting people. You’ll learn a lot more from a great professor (or mentor, or friend, or conference) o

Creating custom OBF files for OsmAnd

Setup

Make sure the latest version of java is installed.
Download OsmAndMapCreator from here: http://download.osmand.net/latest-night-build/OsmAndMapCreator-main.zip
Download a PBF file for your area of interest from Geofabrik (http://download.geofabrik.de/) or other source (e.g. activation wiki)
Create an OBF folder on your desktop
Unzip your OsmAndMapCreator folder to whatever location you want.

NOTE : Take a look at the comments below !

GIS with pySpark : A not-so-easy journey

Why would you do that ?

Today, many datas are geolocalised (meaning that they have a position in space). They're named GIS datas.

It's not rare that we need to do operations on those, such as aggregations, and there are many optimisations existing to do that.

	import sqlite3, os

	conn = sqlite3.connect('Mills1860.mbtiles')

	results=conn.execute('select * from tiles').fetchall()

	for result in results:
	zoom, column, row, png= result
	try:
	os.makedirs('%s/%s/' % (zoom, row))

	#!/usr/bin/perl

	# Create index.html with a list of all files.
	# Written by Ilya Zverev, licensed WTFPL.

	use strict;
	use POSIX qw(strftime);
	use HTML::Template;
	use File::Basename;
	use Getopt::Long;

	# Example of downloading all data from a GeoServer WFS server
	# and loading it into a PostGIS database. Use with caution
	# as you could put a lot of load on someone's server if they
	# host a lot of data which might make them sad.
	# In response to: http://underdark.wordpress.com/2012/09/26/wfs-to-postgis-in-3-steps/

	BASEURL="http://data.wien.gv.at/daten/geoserver/ows?service=WFS&version=1.1.0"

	for LAYERNAME in `wget -qO- $BASEURL"&request=GetCapabilities" \| xpath -q -e "//FeatureType/Name/text()"` ; do
	PARTS=(${LAYERNAME//:/ })

	#######################################################################
	###BASH FOR PROCESSING LANDSAT 8 (8-BIT CONVERSION NEEDED AND INCLUDED)
	########################################################################

	###MAKE SURE IMAGERY ZIP FILE IS IN L8_IMAGERY FOLDER ON DESKTOP

	###THIS SPECIFIC COLOR TWEAKING WAS DESIGNED FOR BAIJI IRAQ AND THEREFORE
	###WILL BEST FIT DESERT REGIONS!

	Folder="Baiji_Jun18"

	#! /usr/bin/env python

	#######################################
	# GDALCalcNDVI.py
	#
	# A script using the GDAL Library to
	# create a new image containing the LST
	# of the original DN value from Landsat
	# 5 or 7 imagery.
	#