2016 web mapping track: colorado oil & gas wells over time by will carter
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Transcript of 2016 web mapping track: colorado oil & gas wells over time by will carter
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Will CarterOriginally from Chicago, Will and his wife, Lori, moved to Denver six years ago. Mainly by exploring and hiking many mountain trails and towns west of the city, he quickly discovered the beauty in the high country. Further exploration revealed the Front Range’s dependence on the mountain areas, from our water to other natural resources. From this knowledge came a shift in career focus to GIS, to find meaningful work in tune with the idea of preserving the resources, wildlife and beauty that surrounds us in Colorado.
Will is currently studying GIS at the FRCC and expects to complete this fall. Since spring, he has been working on a data collection and digitization project with Rocky Mountain Wild and the Trust for Public Land. The project is focused on collection and digitization of geospatial city park data across the United States based on local government sources.
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This is (almost) the LAST presentation of the
conference
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Colorado Oil & Gas Wells Over Time
Will CarterGIS in the Rockies 2016
Web Mapping
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Let’s take a look at the web map
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The MapTemporal resolution
What new questions arise from the map?
Greeley gets surrounded 2000-present
What is happening with the many wells near CR 38?
Well types? What are the target resources?
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The DataColorado Oil And Gas
Conservation Commission
Data contains operator, well name, spud date, geometry
Missing well end date
Missing well type
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Carto/CartoDBcarto.com
Dataset in the cloud
Growing world wide spatial data library
CartoCSS for symbology
Map data was driven from free account
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The CodeAll javascript
Leaflet - powerful, simple, fast, well documented
Power of PostgreSQL, very easy to drive a dynamic map
Oil and Gas dataset has 56k rows
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The ReactionDramatic/questionable symbology with the red burn.
Absolutely No CRED / WildEarth Guardians made a facebook post
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Improvements
How long do wells actually last?
Colorado Public Radio story
Map in the story, driven by an open CartoDB dataset.
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Basin based well lifespan data availableCould I join my dataset to this basin dataset to get an estimated year when the well retires and then remove those wells from the map? Yes!
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Mind. Blown.
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The QueryST_Within, nifty.
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The difference, cumulative vs. removed wellsLess dramatic, more
accurate.
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Torque
CartoDB and CartoCSS
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