Mapping 1968, Conflict and Change
An Opportunity for Interdisciplinary Research
When: Friday, September 28, 8:30am-3:00pm
Where: Wilson Research Collaboration Studio, Wilson Library
Cost: Free; advanced registration is required
1968 was one of the most turbulent years of the 20th century. 2018 marks the 50th anniversary of that year’s landmark political, social and cultural events–events that continue to influence our world today.
Focusing on the importance of this 50 year anniversary we are calling out to all faculty, staff, students, and community partners to participate the workshop ‘Mapping 1968, Conflict and Change’. This all-day event is designed to bring people together into working groups based on common themes. Bring your talent and curiosity to apply an interdisciplinary approach to further explore the spatial context of these historic and/or current events. Learn new skills on mapping techniques that can be applied to any time in history. To compliment the expertise that you bring to the workshop, working groups will also have the support of library, mapping, and data science experts to help gather, create, and organize the spatial components of a given topic.
To learn more and to register for the workshop, go here.
Workshop sponsors: Institute for Advanced Studies (IAS), U-Spatial, Liberal Arts Technologies & Innovation Services (LATIS), Digital Arts, Science & Humanities (DASH), and UMN Libraries.
https://www.goodreads.com/book/show/5114403-early-thematic-mapping-in-the-history-of-cartography – symbolization methods, cartographers and statisticians.
Kevin Ehrman-Solberg ehrma046@umn.edu PPT on Mapping Prejudice. https://www.mappingprejudice.org/
Henneping County scanned the deeds, OCR, Python script to search. Data in an open source. covenant data. Local historian found microfishes, the language from the initial data. e.g. eugenics flavor: arian, truncate.
covenance: https://www.dictionary.com/browse/convenance
Dan Milz. Public Affairs. geo-referencing, teaching a class environmental planning, spatial analysis, dmilz@umn.edu @dcmlz
Chris ancient historian. The Tale of Mediterranean, City: Mapping the history of Premodern Carthage and Tunis.
College of Liberal Arts
from archives to special resources. archaeological data into GIS layers. ESRI https://www.esri.com/en-us/home how interactive is ESRI.
mapping for 6 months. finding the maps in the archeological and history reports was time consuming. once that data was sorted out, exciting.
Kate Carlson, U-Spatial Story Maps, An Intro
patters, we wouldn’t see if we did not bring it up spatially. interactivity and data visualization, digital humanities
making an argument, asking questions, crowdsourcing, archival and resources accessibility, civitates orbis terrarum http://historic-cities.huji.ac.il/mapmakers/braun_hogenberg.html
storymaps.arcgis.com/en/gallery https://storymaps.arcgis.com/en/gallery/#s=0 cloud-based mapping software. ArcGIS Online. organizational account for the U, 600 users. over 700 storymaps creates within the U, some of them are not active, share all kind of data: archive data on spreadsheet, but also a whole set of data within the software; so add the data or use the ArcGIS data and use templates. web maps into the storymap app, Living Atlas: curated set of data: hunderd sets of data, from sat images, to different contents. 846 layers of data, imagery, besides org account, one can create maps within the free account with limited access. data browser to use my own data – Data Enrichment to characterized my data. census data from 2018 and before,
make plan, create a storyboard, writing for the web, short and precise (not as writing for a journal), cartographic style, copyright, citing the materials, choosing the right map scale for each page. online learning materials, some only thru org account ESRI academy has course catalogue. Mapping 101, Dekstop GIS 101, Collector 101, Imagery 101, SQL 101, Story Maps 101,
Awards for UMN undergrad and grad students, $1000
history, anthropology, political science,
Melinda, Kernik, Spatial Data Curator kerni016@umn.edu Jenny McBurney jmcburney@umn.edu
z.umn.edu/1968resources https://docs.google.com/presentation/d/1QpdYKA1Rgzd_Nsd4Rr8ed1cJDAX1zeG7J3exRO6BHV0/edit#slide=id.g436145dc5b_0_23
data2.nhgis.org/main
University Digital COnservancy
civil rights information from the U (migrants blog)
DASH Digital Arts, Sciences and Humanities. text mining data visualization,
data repository for the U (DRUM)
DASH director, https://dash.umn.edu/. Ben Wiggins
The “Mapping 1968, Conflict and Change” planning committee is very pleased with the amount of interest and the wonderful attendance at Friday’s gathering. Thank you for attending and actively participating in this interdisciplinary workshop!
To re-cap and learn more on your thoughts and expectations of the workshop we would be grateful if you can take a few moments to complete the
workshop evaluation. Please complete the evaluation even if you were unable to attend last Friday, there are questions regarding continued communication and the possibility for future events of this kind.
Below is a list of presented workshop resources:
Best Regards-
Kate
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U-Spatial | Spatial Technology Consultant
Research Computing, Office of the Vice President for Research
University of Minnesota
Office Address
Blegen Hall 420
Mailing Address
Geography
Room 414 SocSci
7163A
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more on GIS in this IMS blog
https://blog.stcloudstate.edu/ims?s=GIS
GOTTACATCHEMALL:EXPLORING POKEMON GO IN SEARCH OF LEARNING ENHANCEMENT OBJECTS
Annamaria Cacchione, Emma Procter-Legg and Sobah Abbas Petersen
Universidad Complutense de Madrid, Facultad de Filologia, Av.da Complutense sn, 28040 Madrid, Spain Independent; Abingdon, Oxon, UK SINTEF Technology and Society, Trondheim, Norway
KEYWORDS
Pokemon Go, MALL, Learning, Augmented Reality, Gamification, Situated learning
ABSTRACT
The Augmented Reality Game, Pokemon Go, took the world by storm in the summer of 2016. City landscapes were decorated with amusing, colourful objects called Pokemon, and the holiday activities were enhanced by catching these wonderful creatures. In light of this, it is inevitable for mobile language learning researchers to reflect on the impact oft his game on learning and how it may be leveraged to enhance the design of mobile and ubiquitous technologies for mobile and situated language learning. This paper analyses the game Pokemon Go and the players’ experiences accordingto a framework developed for evaluating mobile language learning and discusses how Pokemon Go can help to meetsome of the challenges faced by earlier research activities.
A comparison between PG and Geocashing will illustrate the evolution of the concept of location-based games a concept that is very close to that of situated learning that we have explored in several previous works.
Pokémon Go is a free, location-based augmented reality game developed for mobile devices. Players useGPS on their mobile device to locate, capture, battle, and train virtual creatures (a.k.a. Pokémon), whichappear on screen overlaying the image seen through the device’s camera. This makes it seem like thePokemon are in the same real-world location as the player
“Put simply, augmented reality is a technology that overlays computer generated visuals over the real worldthrough a device camera bringing your surroundings to life and interacting with sensors such as location and heart rate to provide additional information” (Ramirez, 2014).
Apply the evaluation framework developed in 2015 for mobile learning applications(Cacchione, Procter-Legg, Petersen, & Winter, 2015). The framework is composed of a set offactors of different nature neuroscientific, technological, organisational and pedagogical and aim to provide a comprehensive account of what plays a major role in ensuring effective learning via mobile devices
http://bootcamp.uspatial.umn.edu/
More on GIS and geospatial in this blog:
https://blog.stcloudstate.edu/ims/2015/02/04/gis-and-geoweb-technologies/
Summary
U-Spatial is pleased to announce the 2016 University of Minnesota Summer Spatial Boot Camp, an intensive, five-day geospatial workshop held on the University of Minnesota, Twin Cities campus from June 6th to 10th, 2016. Over the course of five days, participants will learn the fundamentals of Remote Sensing, GPS, LiDAR, Cartography, and more. Emphasis is on foundational skills in gathering, creating, managing, analyzing, and communicating spatial data. In addition to short courses, guest speakers will present on applications of geospatial tools and techniques.
Prerequisites
Working knowledge of Geographic Information Systems (GIS) is a prerequisite for admission to the workshop. In particular, familiarity with ArcGIS or comparable software packages is required.
Course Fees
The non-refundable participation fee for the entire workshop is $250.
Accommodation
U-Spatial has reserved a block of single-occupancy rooms in an on-campus dormitory at a rate of $46.95/night.
Timeline
Application opens: February 16, 2016
Application deadline: May 9, 2016*
Notification of acceptance: May 16, 2016
Course fee due: May 31, 2016
Workshop begins: June 6, 2016
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Analyzing and Presenting Spatial Data
http://www.dhtraining.org/hilt2016/course/spatial-data/
David McClureDigital Humanities Research Developer, Center for Interdisciplinary Digital ResearchStanford University Libraries
Description
This course will introduce students to a range of techniques for analyzing and presenting spatial data in the humanities. We’ll start with a survey of popular GUI-based tools (Neatline, Google Fusion Tables, CartoDB, QGIS, etc), exploring both their capabilities and their limitations. Motivated by the gaps in existing software, the last part of the course will consist of a basic introduction to web map programming in the browser, making use of popular open-source libraries like Leaflet, d3, and Turf.js. Along the way, we’ll touch on the basic concepts needed to get up and running with front-end software development – HTML, CSS, Javascript, and more. This course is designed for enthusiastic beginners who are looking to learn about new tools and and get started with the basic skills needed to create custom GIS applications. No previous programming experience is required.
https://www.libraryjuiceacademy.com/moodle/login/index.php
Eva Dodsworth
Since the emergence of easily accessible dynamic online mapping tools, there has been a drastic increase in geographic interest and awareness. Whether for personal, social, professional or academic uses, people are using Geographic Information System (GIS) technology to communicate information in a map format. Whether it’s using Google Earth to study urban change, or creating Google Map Mashups to deliver library resources, more and more members of society are turning to mapping programs for their visualization needs. With so many using GIS technology in their daily lives, library staff are now more than ever assisting library clients with their mapping queries.
This course will introduce students to a variety of mapping tools and GIS technologies such Google Earth and the creation of dynamic KML files; ArcGIS Online and webmap publishing; Google Fusion Tables and geocoding; and GIS fundamentals with geospatial data creation. Students will be able to apply their GIS skills in their reference work, in digitization projects, in webpages, in library instruction, and more. Through hands-on exercises, pre-recorded demonstrations and lectures, students will receive a thorough overview of mapping resources that will enhance and expose their library’s resources.
http://www.lib.uwaterloo.ca/locations/umd/WeekOne_2014.wmv
http://www.placingliterature.com/map?modal=1
http://www.lib.uwaterloo.ca/locations/umd/WeekTwo.wmv
http://www.lib.uwaterloo.ca/locations/umd/WeekThree_Part_One.mov
http://www.lib.uwaterloo.ca/locations/umd/WeekThree_Part2.mov
http://www.lib.uwaterloo.ca/locations/umd/WeekFour.mov
– How to enable offline maps in your Google Maps app – http://www.huffingtonpost.com/map-happy/how-to-enable-offline-maps_b_6525832.html
– Huge news – Google Earth Pro, which used to cost the public $400 is now free! What does that mean for you? Extra features! You can import GIS files, tables, and export animated movie files! http://google-latlong.blogspot.com.es/2015/01/google-earth-pro-is-now-free.html
– Don’t live in Canada? Too bad! Google Maps plots best tobagonning hills in Canada!http://www.ctvnews.ca/canada/google-map-plots-canada-s-best-tobogganing-hills-1.2218207
– a map of 19 countries that were named after specific people – http://www.vox.com/2015/2/1/7954179/map-countries-pe
By Paul KerleyBBC News Magazine
http://www.bbc.com/news/magazine-30840318
Content for Week Two – February 9th – February 15th
Week Two:
Podcast includes:
- Citizen Mapping
- OpenStreetMap – crowdsourcing
more heads are better then one
NYPL geomapping volunteers.
http://www.openstreetmap.org/
citizen crime reporting app for NYPD http://www.nyc.gov/html/nypd/html/crime_mapping/nyc_crime_map_introduction.shtml
when the jet disappeared, crowdsourcing for parts on the satellite maps of the ocean
potholes map
maps of the threes. emerald bug in Mnpls
http://www.fuf.net/
how does foursquare and checkins in FB and Google +fit it
Podcast and Powerpoint can be accessed from:http://www.lib.uwaterloo.ca/locations/umd/JuicyLibrarianMaterial.html
Tutorials: Google Earth
Assignments:
1. Discussion question:
Discover some citizen mapping projects that you are interested in OR
Contribute your local knowledge to Google Map Maker AND Share with the class online
2. Google Earth Map
Please complete the tutorial and then create a map in Google Earth with the following components:
- A title
- A written introduction to your project
- At least five placemarks, embedded with html tags, and images, if possible.
- Imported KML file(s) file format by GEarth, but other apps is using it. using notepad or MS Word, one can create KML file.
screen overlay, can be text, image, anything. legend. HTML code.
- A screen overlay (i.e. a legend)
areal photography.
history.
images from the library, Google is willing to buy them. citizen mapping. scanning and uploading.
geographical and societal awareness.
Gallery: 360Cities.
google street view – historical views
Google Earth Mapping
Submit online as a KML/KMZ file
I had the opportunity to experience a gizmo that can be used to display a variety of mapping projects, including citizen mapping: Science on a Sphere. It is a sphere on which you can project static maps or animations. The one I saw, in the National Oceanic and Atmospheric Administration’s facility on Ford Island in Honolulu, displayed animations showing the 2004 Indian Ocean tsunami and the 2011 tsunami in Japan, as well as airline flight paths, ocean currents, polar ice cap change over time, and many other types of geospatial data.
The Great Backyard Bird Count actually starts today and runs through Monday, February 16th. At a minimum, it only requires 15 minutes of observation on any or all the days: http://gbbc.birdcount.org/
Happy Cow is a site well-known to many vegetarians/vegans for finding restaurants which I’ve used when travelling. Users can submit reviews and/or restaurants that they’d like profiled (although the site reserves the right to approve or not the listing). http://www.happycow.net/search.html
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One of the impediments to citizen mapping is the line-of-sight cell tower limitations of mobile phones, or the wifi requirements for other mobile devices. Citizen mapping in urban and suburban environments is well-served by mobile devices, but what about natural areas, dense leaf cover, or extreme topography? Even if obtaining absolute mapping coordinates isn’t the issue, much crowdsourcing assumes an ability to connect back to a central data repository (e.g., a web database, ‘the cloud’). Equipment that can interact with GPS satellites and support data capture is typically expensive and generally requires proprietary software.
wq (https://wq.io/) is a framework that is ‘device first’ and ‘offline-enabled’. It attempts to leverage several open source technologies to build an entire mobile solution that can support citizen science data collection work, and then synchronize with a central repository once the device (and operator) return to an area served by cellular or wifi networks.
I’m stretching here, so if I get stuff wrong, please don’t yell. Still, I’ll take a pass at generally describing the framework and its related technology stack.
wq relies upon python, and a web framework called django for building offline-capable web apps that can run on iOS and Android devices. These web apps, then, rely very heavily upon javascript, particularly requirejs (http://requirejs.org/) and mustache (https://mustache.github.io/), for the templates that permit quick and (somewhat) painless web application development. Data visualization relies upon d3.js (http://d3js.org/), and geography makes heavy use of Leaflet (http://leafletjs.com/) — maybe the most pertinent layer of the stack for those of us in this course. If you’re not familiar withLeaflet.js, check it out!
Finally, wq extends several other open source technologies to enable synchronizing between a central data repository and multiple mobile devices in the hands of citizen mappers. Lastly, wq employs a set of tools to more easily build and distribute customized mapping apps that can be served from Apple’s app store, Google Play, etc.
What wq intends is to allow highly specialized citizen science/citizen mapping apps to be more easily and quickly built, based upon a solid collection of aligned F/OSS tools. Ideally, an app can spin up quickly to respond to a particular need (e.g., a pipeline spill), or a specialized audience (the run up to a public comment period for a development project), or even something like a high school field trip or higher ed service learning project.
Some examples of citizen mapping projects already built upon wq are here:
https://wq.io/examples/
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Creating a walking tour map with Google Earth_2014
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Week 3
Podcast includes:
- Geocoding
- Georeferencing
- Spatial Data Formats
- Geospatial Data Online
- Discussion Question
Podcast and Powerpoint available from: http://www.lib.uwaterloo.ca/locations/umd/JuicyLibrarianMaterial.html
Tutorials: BatchGeo (optional); Google Fusion (optional)
https://en.batchgeo.com/
enter Xcel data, and export KLM file ready for google map and/or google earth
https://support.google.com/fusiontables/answer/2571232
http://en.wikipedia.org/wiki/Google_Fusion_Tables
store maps online, no latitude needed.
visualize geospatial data by map
spatial analysis by mapping different layers together
showing data by map, graph or chart
e.g. how many cars cross specific point
crowdsourcing: spotting butterflies, using fusion tables to map the spices and sightings
http://www.theguardian.com/news/datablog/2011/mar/31/deprivation-map-indices-multiple
students: journalism, history, geography.
Georeferencing (geocoding – data, geo referencing – image)
historical air maps or photos are much more useful when they are georeferenced.
Photos from different year is difficult to lay over one another without referencing. the only reference might be the river. usually reference the four corners, but sometimes river. Using GIS program to determine the longitute/latitude for each corner. sometimes only farmland and it is impossible