djq

# examples from: http://kateto.net/network-visualization

library('igraph')
library('network')
library('sna')
library('ndtv')
library('visNetwork')

# load data
setwd('/Users/djq/Desktop/net-viz/data')

cavedave

library(idbr) # devtools::install_github('walkerke/idbr')
library(ggplot2)
library(animation)
library(dplyr)
library(ggthemes)

idb_api_key("")

djq

# ----
# Background
# ----
#
# Vectors:
# vectors consist of points, lines, polygons
# Within GeoDjango, data-types which are multipolygon and geometry also exist
#
# Projections:
# Projection systems facilitate translating data between a 3D and 2D space. 

andrewxhill

Introduction to the CartoDB interface

This page can always be found at: http://bit.ly/cdb-harvard

• Tour of dashboard
• Common data
• Uploading data
• Tour of table and map view
• Publishing maps
• Public profile

timlinux

# coding=utf-8
 
# A simple demonstration of how to load a QGIS project and then
# show it in a widget.
# This code is public domain, use if for any purpose you see fit.
# Tim Sutton 2015
 
import os
from qgis.core import QgsProject
from qgis.gui import QgsMapCanvas, QgsLayerTreeMapCanvasBridge

kyledrake

# The blog post that started it all: https://neocities.org/blog/the-fcc-is-now-rate-limited
#
# Current known FCC address ranges:
# https://news.ycombinator.com/item?id=7716915
#
# Confirm/locate FCC IP ranges with this: http://whois.arin.net/rest/net/NET-165-135-0-0-1/pft
#
# In your nginx.conf:

location / {

mingderwang

download tarball (http://s3tools.org/download)

$ sudo python setup.py install

$ s3cmd --configure                          

Enter new values or accept defaults in brackets with Enter.
Refer to user manual for detailed description of all options.

Access key and Secret key are your identifiers for Amazon S3

dryan

# Hosts/domain names that are valid for this site; required if DEBUG is False
# See https://docs.djangoproject.com/en/1.5/ref/settings/#allowed-hosts
ALLOWED_HOSTS = [
    'yourdomain.tld',
    '.compute-1.amazonaws.com', # allows viewing of instances directly
]

import requests
EC2_PRIVATE_IP  =   None
try:

mjumbewu

import re
from django.conf import settings
from django.core import cache as django_cache
from mock import patch
from rest_framework.permissions import SAFE_METHODS
from rest_framework.response import Response


class CachedResourceMixin (object):
    @property

celoyd

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