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30 Day Map Challenge
Day 30: Makeover
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Not really a vast improvement over yesterday's - but at least an alternate visualization. Happy to complete the 30 day map challenge for 2025!

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30 Day Map Challenge
Day 29: Raster
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30 Day Map Challenge
Day 28: Black
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30 Day Map Challenge
Day 27: Boundaries
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Seemed like an appropriate thing to map today.

Also, how many things to critique and/or be curious about with this map? North arrow? Scale bar? Projection? Natural versus political boundaries? Service layer credits!

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30 Day Map Challenge
Day 26: Transport
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US Cities have challenging public transportation issues. This city gets a lot partially right. Would be great if it leaned into making public transit great for everyone.

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Day 26: Transport

Netherlands: Gateway of European Import

by Yaying Hao

#GeoData #rstats #DataViz #Maps #SpatialViz

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30 Day Map Challenge
Day 25: Hexagons
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Revisiting the first map of the series - just binning trees by hexagons for Cambridge. Was hoping to do something more interesting but busy day, so kind of called this one in. Holiday week may interfere with completing.

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Day 22: Data challenge: natural earth

Ports in the Mediterranean Sea

By Roger Marín de Yzaguirre

#GeoData #rstats #DataViz #Maps #SpatialViz

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Day 25: Hexagons

MCDA Analysis of Water Network in Dresden

by Soroush Saffarzadeh

#GeoData #rstats #DataViz #Maps #SpatialViz

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Day 24: Places and their names

Tobacco Heritage Locations in the Netherlands

by Massoud Ghaderian

#GeoData #rstats #DataViz #Maps #SpatialViz

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Day 23: Process

A heart of green. Reforestation 1985-2020 on Loess Plateau, China

by Yaying Hao

#GeoData #rstats #DataViz #Maps #SpatialViz

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30 Day Map Challenge
Day 24: Places and Names
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Ran out of time. Massachusetts doesn't fit well in a square. Definitely a draft but a fun one, especially with multiple constraints.

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30 Day Map Challenge
Day 23: Process
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30 Day Map Challenge
Day 22: Natural Earth
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Natural Earth Data is created for world and regional maps at optimal scales. This map uses 110m scale Natural Earth data on an unusual projection - the Spilhaus Ocean Map in Square Projection.

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30 Day Map Challenge
Day 21: Icons
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Not fully satisfied with this one. Playing around with a house icon, transparency, color, and size to tell a specific story. One particular outlier is problematic, and likely a typo. Reasons to explore spatial data.

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30 Day Map Challenge
Day 20: Water
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A super fast, really, honestly, a lazy map. OTOH - a great demonstration of Water, rather than Earth.

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Day 20: Water

Stream and its shaped valley in 3D view

by Yehan Wu

#GeoData #rstats #DataViz #Maps #SpatialViz

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Day 19. Cell

Grids, Spatial Lag of Low-Income Families (Q05) – Variation 2009–2023, 100-meter grids in Amsterdam

by Diego Buitrago-Mora

#GeoData #rstats #DataViz #Maps #SpatialViz

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Day 19. Projections

World Continents UTM Vs. Equal-Area (LAEA) Projection

by Soroush Saffarzadeh

#GeoData #rstats #DataViz #Maps #SpatialViz

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30 Day Map Challenge
Day 19: Projections
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Another 20 minute draft, but it conveys an important lesson about using local planar projections when working at local scales.

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30 Day Map Challenge
Day 18: Out of This World
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Found some imagery for Pluto:
astrogeology.usgs.gov/search/map/p...

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Day 18: Out Of This World

Render a 3D map of Olympus Mons on Mars using elevation data

by Ignacio Urria Yáñez.

#GeoData #rstats #DataViz #Maps #SpatialViz

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30 Day Map Challenge
Day 17: New Tool
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A busy day to explore something brand new. I’ve made maps or helped others make maps with so many different tools over the years.
I’m deeply skeptical of Gen AI. Used the embedded AI in iOS Freeform. Embarrassing US map

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Day 17: A New Tool

Mapping Co-Hotspots in Amsterdam: A Social-Spatial Network Analysis using SNoMaN Software

by Shuyu Zhang

#GeoData #rstats #DataViz #Maps #SpatialViz

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Day 15: FIRE.

Finance, Insurance, Real Estate and other advanced services as markers of urban globalisation

by @clementinecttn.bsky.social

#GeoData #rstats #DataViz #Maps #SpatialViz

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30 Day Map Challenge
Day 16: Cell
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Revisiting a prior map - binning residential parcels into hexagonal cells to illustrate where people would be most likely to live in the Providence. Note: by "most likely" I am not using reproducible spatial analysis... ;-)

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30 Day Map Challenge
Day 15: Fire
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Looked for an interesting fire dataset.
Lots of agricultural land management with fire...

Information about the data here:
www.ospo.noaa.gov/products/lan...

One of many datasets your tax dollars pay to maintain.

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30 Day Map Challenge
Day 14: Open Street Map
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Really another 10 minute map.

Busy day & phone & laptop refusing to connect on the train. But, I thought it’s worth highlighting the default cartographic choices of OSM and I picked a place of interest to me.

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30 Day Map Challenge
Day 13: 10 Minute Map
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Probably more like 15 minutes if you count exporting to image file for posting. Add another 30 minutes for thinking about the dataset, what to map, and where. Plenty of things to critique and improve on.

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30 Day Map Challenge
Day 12: 2125
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so much more could be done with this

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