NACIS 2020: Mapping COVID-19 Coast to Coast, and Around the World

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Mapping COVID-19 Coast to Coast, and Around the World Alan McConchie // Stamen Design NACIS Practical Cartography Day October 14, 2020 Slides: sta.mn/8vj Video: youtu.be/DeDYDql4O3Q

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COVID-19 Mobility Data Network Working with Facebook’s Data for Good and the COVID-19 Mobility Data Network, we mapped movement in regions around the world during the pandemic. The COVID-19 Movement Trends tool seeks to help policy makers answer critical questions: How well have physical distancing interventions worked? Where do communities need the most support with their distancing eﬀorts? How and when, and how quickly, should we re-open diﬀerent cities, states and countries? visualization.covid19mobility.org

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Mobility trends as small multiples visualization.covid19mobility.org Stay-at-home percentage Relative change in mobility

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Mobility trends in the wild Governor’s COVID-19 press conference with Secretary of the California Health and Human Services Dr. Mark Ghaly, April 13, 2020

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The mobility dashboard: version 1 (R.I.P.)

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Wanted: map projections for the US (the whole US)

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Daniel Immerwahr “How to Hide an Empire: A History of the Greater United States”

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Custom map projections in TileMill and Leaﬂet (aka “Lying to Leaﬂet”) oceanplanning.org climate.audubon.org natgeo.com/climate-change/explore-amazonia more info (NACIS PCD 2015) >

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Custom map projections in TileMill and Leaﬂet (aka “Lying to Leaﬂet”) more info (NACIS PCD 2015) > ogr2ogr -f GeoJSON -t_srs "EPSG:2163" -s_srs "EPSG:4326" /vsistdout/ unprojected.geojson | ogr2ogr -f GeoJSON -t_srs "EPSG:4326" -s_srs "EPSG:3857" projected.geojson /vsistdin/

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Custom map projections in PostGIS and CARTO dsl.richmond.edu/panorama/overlandtrails dsl.richmond.edu/panorama/forcedmigration more info (NACIS 2015) >

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Custom map projections in PostGIS and CARTO more info (NACIS 2015) > SELECT cartodb_id, name, ST_Transform(ST_SetSRID(ST_Transform(the_geom,2163),3857),4326) as the_geom FROM my_table

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Reprojection with Dirty Reprojectors using D3.js under the hood more info (dirty-reprojectors github) > cat original.geojson | dirty-reproject --forward patterson > projected_patterson.geojson

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Lo Bénichou Mapping the US elections: Guide to Albers USA projection in Studio

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Albers USA + Territories now available: github.com/stamen/geo-albers-usa-territories npmjs.com/package/geo-albers-usa-territories

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Labels Label data must be reprojected too. Note how county labels only appear for the currently-active state.

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Make & makeﬁles ❤ Reproducible command-line workﬂows Learn more from Seth Fitzsimmons at NACIS PCD 2016 >

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Makeﬁle morsels just a taste

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International mobility data for 15 countries visualization.covid19mobility.org Stay-at-home percentage Relative change in mobility

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FIPS, NUTS, and GADM

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FIPS: Federal Information Processing Standard (US only) NUTS: Nomenclature des unités territoriales statistiques (Europe only) GADM: Database of Global Administrative Areas (worldwide)

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Thank you! Alan McConchie @mappingmashups [email protected] Slides: sta.mn/8vj Video: youtu.be/DeDYDql4O3Q Explore the map and let us know what you think! Visualization.covid19mobility.org Thanks to the COVID-19 Mobility Data Network, coordinated by Direct Relief and researchers from the Harvard T.H. Chan School of Public Health. Thanks also to Facebook’s Data for Good program.

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#exhaust

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#exhaust

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#exhaust

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Miller vs Patterson

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Tried pasting a Wikipedia table into LibreOﬃce, because what's the worst that could happen? Oh look, some SVG images came along for the ride!

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#exhaust