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David Quinn djq

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@djq
djq / network_visualization.R
Created May 7, 2017 20:08
R network visualizations
# 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
cavedave / Ireland Population Pyramid.r
Last active September 16, 2016 16:27
Ireland population pyramid based on code from https://gist.github.com/walkerke/f9665e15b74b393bd2d6
library(idbr) # devtools::install_github('walkerke/idbr')
library(ggplot2)
library(animation)
library(dplyr)
library(ggthemes)
idb_api_key("")
@djq
djq / gist:58558ac644a6c15f52ac
Last active November 2, 2015 16:06
Intro to spatial data using django
# ----
# 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.

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
timlinux / show_project.py
Last active April 3, 2019 14:53
Load and show a QGIS project in python
# 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
kyledrake / ferengi-plan.txt
Last active October 3, 2024 15:12
How to throttle the FCC to dial up modem speeds on your website using Nginx
# 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
mingderwang / gist:10963621
Created April 17, 2014 08:14
install s3cmd on mac os x
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
dryan / settings.py
Last active September 7, 2023 11:04
Handling EC2 ELB health checks and Django's ALLOWED_HOSTS setting.
# 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:
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

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