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Videos uploaded by user “Chris Goranson” for the 2013
ArcGIS Online Examples
 
07:09
This video presents some simple and more advanced examples of utilizing the many features of ArcGIS online. This covers some of the same principles covered in the first two weeks of class and in the book. The examples covered here include the following: Crowdsourced Instagram photos of Superstorm Sandy: http://bit.ly/ZtclP8 Interpolated Surface of Restaurant Grades in Manhattan: http://www.arcgis.com/apps/OnePane/azuretwitter/index.html?appid=436e34f7109d43c39c87b4aae9f797fd Comparison of NYC and USDA food desert designations: http://www.arcgis.com/explorer/?open=9f5281f0165e4a63a36a8cede48ec1ec&extent=-8276271.9944496,4939723.80871821,-8178693.28252904,4998599.19375435
Views: 11720 Chris Goranson
GIS Tutorial: ArcMap Custom Toolbars Tutorial
 
05:06
A very brief and basic tutorial on how to easily create your own custom toolbars within ArcMap using existing tools available through the interface - no programming required. This tutorial covers how to create a toolbar within ArcMap with your own custom set of buttons. It also explains some ways to make a custom project for users that may be less familiar using the software.
Views: 4906 Chris Goranson
GIS Tutorial: Using the Local Morans I statistic to analyze hospital charges in ArcMap
 
08:49
This GIS tutorial analyzes the average covered charges data from Medicare as released by HHS. From the spreadsheet's documentation: The Average Covered Charges represent "the provider's average charge for services covered by Medicare for all discharges in the DRG. These will vary from hospital to hospital because of differences in hospital charge structures." HHS press release: www.hhs.gov/news/press/2013pres/05/20130508a.html Data download: http://www.cms.gov/Research-Statistics-Data-and-Systems/Statistics-Trends-and-Reports/Medicare-Provider-Charge-Data/index.html
Views: 12911 Chris Goranson
Data Visualization Tutorial: Google Fusion Tables and NYC Open Data
 
11:12
This tutorial walks through the basics of using Google Fusion Tables to create maps and data visualizations with 311 data downloaded from NYC Open Data. https://nycopendata.socrata.com/ http://tables.googlelabs.com/‎
Views: 1426 Chris Goranson
Mobile Phone Tracking and You: Loading location data from your cell phone in Google Maps and ArcMap
 
13:52
This GIS tutorial walks through how to get location data from your cell phone as represented in Google Maps into ArcMap. This tutorial covers the basics of using the KML to Layer tool in the ArcToolBox and an alternate way to load kml data back into ArcMap. I've included a "cleaned" version of the KML file below if you'd like to try and pull the file into ArcGIS yourself. If you do, see if you can figure out the following: 1. Where I stayed on 08/17/2013 2. What I did during the day 3. Where I went in the evening The timestamps will be helpful in making an educated guess. Remember, the data you're working with hasn't been cleaned so there will be errors in the file. When working with the data, think a bit about what this data can tell someone when combined in aggregate over a period of time (even just a week's worth of data can be very informative as to a person's behavioral patterns). From a public health perspective, the monitoring of such information can introduce significant ethical issues for the researcher. For instance, a public health official might be tempted to use such a data collection scheme to try and determine segments of the population most likely to visit clinic locations, but what if that same information was used to target specific populations (say, persons who all happen to visit a place of worship?) Public health officials are more likely to be very sensitive to such issues, but others may not. If you are a public health practitioner (or are in school to become one), consider it part of your duty to inform others as to the challenges that location-based information can introduce to both the research and the general public. A copy of the cleaned CSV file used in the tutorial can be found here: http://www.arcgis.com/home/item.html?id=07afb38edab347c4ba7d1758f11f0c08 For more on this topic, see: maps.google.com/locationhistory support.google.com/gmm/answer/3118687?hl=en resources.arcgis.com/en/help/main/10.2/index.html#//00120000004w000000 Presentation on similar topic: http://169.226.136.224/mediasite/Viewer/?peid=9ab7e706a4424f40b57f19f9ca0a5cab1d
Views: 25879 Chris Goranson
Data Visualization Tutorial: Mapping and Data Visualization of U.S. Migration Flows
 
12:37
This tutorial introduces the U.S. Census Bureau's Flows Mapper tool which maps the flow of people from one county to another using data from the 2006-2010 American Community Survey. Once the data is queried and downloaded from the site, the data is cleaned in MS Excel and visualized using Datawrapper's open source solution. For more information: U.S. Census Flows Mapper (beta) - http://flowsmapper.geo.census.gov/flowsmapper/flowsmapper.html Datawrapper - http://datawrapper.de/ U.S. Census Bureau American Community Survey - http://www.census.gov/acs/www/
Views: 1577 Chris Goranson
CartoDB Web Map Tutorial: Tracking Case Reports from the Virtual Epidemic using GIS
 
14:51
This video highlights mapping data from the new Moocdemic companion online game to Penn State's "Epidemics - they Dynamics of Infectious Diseases" course currently underway. For more: https://www.coursera.org/course/epidemics https://www.moocdemic.com/
Views: 1285 Chris Goranson
Data Visualization Project Intro:  Working with the Google / PRIO Small Arms and Ammo Data Viz
 
06:35
This is an introductory video to the Google / PRIO data visualization on small arms and ammo. In this series of videos we will deconstruct the data visualization and in the process learn a little javascript programming. Websites referenced in this video: http://www.google.com/ideas/projects/arms-visualization/ https://github.com/dataarts/armsglobe
Views: 348 Chris Goranson
Visualization of the Epidemic (Moocdemic!) - from the first week of case reports, by region.
 
09:54
Data used in this visualization comes from Penn State's current course on "Epidemics - the Dynamics of Infectious Diseases" and the companion crowdsourced epidemic game - Moocdemic. The dataset was then recoded to create a network visualization in gource. This video is a visualization of the first week of case reports of the mock epidemic. Regions can are defined by the longer links (look a bit like stems), with shorter, regional stems (the look like petals). Each time a case report is made the location is linked to the virus (Agent O). For more: https://www.coursera.org/course/epidemics https://www.moocdemic.com https://code.google.com/p/gource/
Views: 1280 Chris Goranson