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Accelerating Map Making with Artificial Intelligence

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The Geo-Spatial Revolution Continues

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Millions of User Interactions Untapped

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Trends

Mountains of Data

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What is AI?

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What is Artificial Intelligence?

Country Code	Weight
AD	-0.00021962
AE	-0.00506434
AF	0.10160388
AG	0.0
AI	0.0
AL	-0.00022849
AM	-0.00309539
AN	0.0
AO	-0.00276331

Oh well that’s disappointing. It’s just numbers. This is AI. Artificial Intelligence is basically a fancy term for a bunch of numbers, math and stats. These numbers form machine learning models. There are several types of models including random forest, recurrent neural networks, and linear classification. You can also combine different models together. First Draft GIS uses Linear Classification, so we’ll focus on that type for this talk. What you see on the screen is weights for country codes used by our Machine Learning Model for linear classification. ML Models learn from experience. The more experience the smarter they get Hence, the need to learn from all of our interactions. They’re actually generally pretty stupid. Take a lot longer to learn than a human does because don’t have general AI.

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What can AI do?

Now	Soonish	Wayy Far Out
Geotag tweets	Dictate steps in making a map (SpeechRecognition API)	Understand User Requirements
Find places mentioned in news articles and reports	Detect Features in Imagery	Build Community
Clean Excel Spreadsheets		Make Final Draft
Auto-style maps		Share Map
		Understand Audience

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How can we help?

FDGIS

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Old Timeline of Making Some Maps

New Timeline of Making Some Maps

Get Data	Create First Draft	Create Second Draft	Finalize

Get Data	Create First Draft	Create Second Draft	Finalize

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Multiple Classifiers

Local	Global
edit_distance	edit_distance
feature_class	feature_class
matches_end_user_timezone_X_is_most_important_in_timezone	country_code
is_most_important_in_timezone	importance
	Is_highest_population
	is_lowest_admin_level

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QGIS Plugin FirstDraftGIS

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https://github.com/FirstDraftGIS/fdgis-qgis/

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Python API

pip install fdgis

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Python API

from fdgis import make_map text = "bars near Cambridge" geojson = make_map(text, map_format="geojson")

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