Skip to content

Commit

Permalink
prep 2024
Browse files Browse the repository at this point in the history
  • Loading branch information
@tjukanovt
tjukanovt committed Oct 2, 2024
1 parent c3aa43c commit ce85285
Show file tree
Hide file tree
Showing 5 changed files with 27 additions and 86 deletions.
3 changes: 3 additions & 0 deletions README.md
View file
Original file line number Diff line number Diff line change
@@ -1,5 +1,8 @@
## Daily social mapping project happening every November


**Categories for 2024 challenge coming here soon!**

The official repository for #30DayMapChallenge, a daily mapping challenge open to everyone.

The idea is to create maps based around different themes each day of November using the hashtag `#30DayMapChallenge`. You can prepare the maps beforehand, but the main idea is to publish maps on the dedicated days. Just include a picture of the map when you post to Twitter (or other platforms) with the hashtag. You don't have to sign up anywhere to participate. There are no restrictions on the tools, technologies or the data you use in your maps. Doing less than 30 is also fine. See the *Code of Conduct* at the bottom of the page.
Expand Down
73 changes: 1 addition & 72 deletions docs/index.md
View file
Original file line number Diff line number Diff line change
Expand Up @@ -2,78 +2,7 @@

The official repository for #30DayMapChallenge, a daily mapping challenge open to everyone.

The idea is to create maps based around different themes each day of November using the hashtag `#30DayMapChallenge`. You can prepare the maps beforehand, but the main idea is to publish maps on the dedicated days. Just include a picture of the map when you post to Twitter (or other platforms) with the hashtag. You don't have to sign up anywhere to participate. There are no restrictions on the tools, technologies or the data you use in your maps. Doing less than 30 is also fine. See the *Code of Conduct* at the bottom of the page.

## Data 🗺

You can use **what ever data you want.** But here are a few sources which could help you to get started or give you new ideas 👇

- [OpenStreetMap](https://www.openstreetmap.org/)
- OpenStreetMap (OSM) is a collaborative project to create a free editable map of the world. If you seek for easy ways to get an extract of the data, you can check for [GeoFabrik](https://www.geofabrik.de/data/download.html) for Shapefiles or [Overpass API for GeoJSONs etc.](https://overpass-turbo.eu/).
- [Overture Maps Foundation](https://overturemaps.org/download/)
- OMF publishes global data extracts monthly which are a combination of OpenStreetMap and other open data sources.
- [Natural Earth Data](https://www.naturalearthdata.com/)
- Natural Earth is a public domain map dataset available at 1:10m, 1:50m, and 1:110 million scales. Featuring tightly integrated vector and raster data, with Natural Earth you can make a variety of visually pleasing, well-crafted maps with cartography or GIS software.
- [Free GIS Data](https://freegisdata.rtwilson.com/)
- The site contains a categorised list of links to over 500 sites providing freely available geographic datasets - all ready for loading into a Geographic Information System.
- [OS OpenData](https://www.ordnancesurvey.co.uk/opendatadownload/products.html)
- Ordnance Survey Open Data for Great Britain. Includes general topographic map data at a range of scales; useful thematic data such as greenspace, terrain, roads and rivers; postcode and place name georeferencing.
- [Humanitarian Data Exchange](https://data.humdata.org/)
- Interesting datasets from around the world.
- [LINZ Data Service](https://data.linz.govt.nz/)
- New Zealand land and sea data available for free under a Creative Commons licence via download or OGC APIs.
- [LINZ NZ Aerial Basemap](https://basemaps.linz.govt.nz/)
- Current aerial imagery for New Zealand available under a Creative Commons licence via WMTS or XYZ tile services.
- [Open Topography](https://opentopography.org/)
- Lidar point cloud and DEM data.
- [A collective list of free APIs for use in software and web development.](https://github.com/public-apis/public-apis)
- [GIS data repositories spreadsheet by Karen Payne](https://docs.google.com/spreadsheets/d/1utQRlrX3lJniBjWE3rNjLZeTRsbjH-zdjxNmXhhvO9Q/edit#gid=47)
- [Data is Plural](https://www.data-is-plural.com/)
- The best data newsletter out there with an awesome archive including also some very obscure datasets.

## Tools 🔨🔧

The challenge is open to any software, but here’s a list of popular open-source tools to consider. No programming skills are required. Or if you are a programmer, no design skills are required.

- [QGIS](https://www.qgis.org/en/site/)
- A Free and Open Source Geographic Information System. A desktop software that allows you to read/write multiple data formats and output (mainly static) maps.
- [Kepler](https://kepler.gl/)
- Open source geospatial analysis tool for large-scale data sets and for interactive maps.
- [Aerialod](https://ephtracy.github.io/index.html?page=aerialod)
- Not really a GIS tool, but can be used to create some stunning 3D visualizations
- [Blender](https://www.blender.org/)
- Free and open source 3D creation suite. Check out the BlenderGIS extension.
- [R packages for geospatial](https://www.r-project.org/)
- [sf](https://cran.r-project.org/web/packages/sf/index.html), [ggplot](https://ggplot2.tidyverse.org/), [tmap](https://cran.r-project.org/web/packages/tmap/vignettes/tmap-getstarted.html) and [rayshader](https://www.rayshader.com/) to mention few examples.
- [Python packages for geospatial](https://python.org/)
- [geopandas](https://geopandas.org/), [xarray-spatial](https://xarray-spatial.org), [matplotlib](https://matplotlib.org/2.0.2/gallery.html), [geoplot](https://residentmario.github.io/geoplot/), [hvplot](https://hvplot.holoviz.org/reference/index.html) and [plotly](https://plotly.com/python/) to mention a few.
- [Mapshaper](https://mapshaper.org)
- Useful for geospatial data processing in the browser such as file format conversion, map projection, feature simplification, filtering, clipping, merging etc. Can also be run [locally from the command line](https://github.com/mbloch/mapshaper).
- [Vega-Lite](https://vega.github.io/vega-lite/)
- Declarative visualization specification including [cartographic output](https://vega.github.io/vega-lite/examples/#maps-geographic-displays). Specifications can be written directly in JSON or via program language interfaces such as [altair](https://altair-viz.github.io) (Python) and [elm-vegalite](https://package.elm-lang.org/packages/gicentre/elm-vegalite/latest/VegaLite) (Elm). See, for example, this tutorial on using [OpenStreetMap with elm-vegalite](https://github.com/gicentre/litvis/blob/master/documents/tutorials/geoTutorials/openstreetmap.md)
- [Vega](https://vega.github.io/vega/)
- More flexible but lower-level declarative visualization specification including cartographic output. Specifications can be written directly in JSON or via program language interfaces such [elm-vega](https://package.elm-lang.org/packages/gicentre/elm-vega/latest/).
- [Litvis](https://github.com/gicentre/litvis)
- Literate Visualization notebook environment optimised for specifying visualizations and documenting the design process. While not specific to cartography, can be a useful environment for exploring cartographic design.
- [Observable](https://observablehq.com)
- Reactive notebook environment for generation of visualization and cartographic output embedded in a textual narrative. Focus is on using [d3](https://d3js.org) for specifying visual output.


## Tutorials & Helpful Resources 📚
If you want to make maps with QGIS, this video is a great starting point. Check out also other videos by [Klas Karlson](https://www.youtube.com/playlist?list=PLNBeueOmuY163iwu4VpZdjqqdU1HkRTP_)
- [Steven Bernard's QGIS Introduction](https://www.youtube.com/playlist?list=PL7HotvlLKHCs9nD1fFUjSOsZrsnctyV2R)
- [QGIS Tutorials by Ujaval Gandhi](https://www.qgistutorials.com/en/)
- [3D Landscape Tutorial by Alasdair Rae](http://www.statsmapsnpix.com/2020/03/making-3d-landscape-and-city-models.html)
- [Basics of Mapmaking by Kenneth Field](https://medium.com/nightingale/so-you-want-to-make-a-map-58c7f55f6b20)

## Maps & Stats
Every year the challenge gathers thousands of mappers around the globe. As the challenge has spread across various platforms, gathering statistics has proven to be nearly impossible.

In 2021 there were more than 1200 mappers and more than 9000 maps created for the challenge. In 2020 more than 1000 people posted more than 7000 maps for the challenge on different platforms. If you want to see some maps from past challenges, browse the hashtag on [X](https://twitter.com/search?q=%2330DayMapChallenge&src=typed_query) or check the official [website](https://30daymapchallenge.com/) of the challenge and browse different years.

[#30DayMapChallenge bot by Haifeng Niu harvested comprehensive stats and maps from the challenge](https://github.com/hn303/30DayMapChallenge-Bot)

In 2020 & 2019 David Friggens did a huge lift on the [30DayMapChallenge2020Metadata repository](https://github.com/dakvid/30DayMapChallenge2020Metadata) with metadata & interactive gallery.
The idea is to create maps based around different themes each day of November using the hashtag `#30DayMapChallenge`. You can prepare the maps beforehand, but the main idea is to publish maps on the dedicated days. Just include a picture of the map when you post to Twitter (or other platforms) with the hashtag. You don't have to sign up anywhere to participate. There are no restrictions on the tools, technologies or the data you use in your maps. Doing less than 30 is also fine.

## Code of Conduct
No matter if you are a GIS expert or never made a map before this challenge, everyone is welcome to participate,
Expand Down
28 changes: 17 additions & 11 deletions docs/resources.md
View file
Original file line number Diff line number Diff line change
@@ -1,11 +1,13 @@
# Helpful resources

## 🔵 Data 🗺
## Data 🗺

You can use **what ever data you want.** But here are a few sources which could help you to get started or give you new ideas 👇

- [OpenStreetMap](https://www.openstreetmap.org/)
- OpenStreetMap (OSM) is a collaborative project to create a free editable map of the world. If you seek for easy ways to get an extract of the data, you can check for [GeoFabrik](https://www.geofabrik.de/data/download.html) for Shapefiles or [osmdata.xyz](https://download.osmdata.xyz/) for GeoPackages or [Overpass API for GeoJSONs etc.](https://overpass-turbo.eu/) .
- OpenStreetMap (OSM) is a collaborative project to create a free editable map of the world. If you seek for easy ways to get an extract of the data, you can check for [GeoFabrik](https://www.geofabrik.de/data/download.html) for Shapefiles or [Overpass API for GeoJSONs etc.](https://overpass-turbo.eu/).
- [Overture Maps Foundation](https://overturemaps.org/download/)
- OMF publishes global data extracts monthly which are a combination of OpenStreetMap and other open data sources.
- [Natural Earth Data](https://www.naturalearthdata.com/)
- Natural Earth is a public domain map dataset available at 1:10m, 1:50m, and 1:110 million scales. Featuring tightly integrated vector and raster data, with Natural Earth you can make a variety of visually pleasing, well-crafted maps with cartography or GIS software.
- [Free GIS Data](https://freegisdata.rtwilson.com/)
Expand All @@ -22,10 +24,12 @@ You can use **what ever data you want.** But here are a few sources which could
- Lidar point cloud and DEM data.
- [A collective list of free APIs for use in software and web development.](https://github.com/public-apis/public-apis)
- [GIS data repositories spreadsheet by Karen Payne](https://docs.google.com/spreadsheets/d/1utQRlrX3lJniBjWE3rNjLZeTRsbjH-zdjxNmXhhvO9Q/edit#gid=47)
- [Data is Plural](https://www.data-is-plural.com/)
- The best data newsletter out there with an awesome archive including also some very obscure datasets.

## 🔵 Tools 🔨🔧
## Tools 🔨🔧

Because the challenge is aimed to be open for everyone, the tools listed here will be *open source tools*. Still, **the challenge can be done with any kind of software** (or even without any software). Programming skills are not a requirement to do the maps.
The challenge is open to any software, but here’s a list of popular open-source tools to consider. No programming skills are required. Or if you are a programmer, no design skills are required.

- [QGIS](https://www.qgis.org/en/site/)
- A Free and Open Source Geographic Information System. A desktop software that allows you to read/write multiple data formats and output (mainly static) maps.
Expand All @@ -37,6 +41,8 @@ Because the challenge is aimed to be open for everyone, the tools listed here wi
- Free and open source 3D creation suite. Check out the BlenderGIS extension.
- [R packages for geospatial](https://www.r-project.org/)
- [sf](https://cran.r-project.org/web/packages/sf/index.html), [ggplot](https://ggplot2.tidyverse.org/), [tmap](https://cran.r-project.org/web/packages/tmap/vignettes/tmap-getstarted.html) and [rayshader](https://www.rayshader.com/) to mention few examples.
- [Python packages for geospatial](https://python.org/)
- [geopandas](https://geopandas.org/), [xarray-spatial](https://xarray-spatial.org), [matplotlib](https://matplotlib.org/2.0.2/gallery.html), [geoplot](https://residentmario.github.io/geoplot/), [hvplot](https://hvplot.holoviz.org/reference/index.html) and [plotly](https://plotly.com/python/) to mention a few.
- [Mapshaper](https://mapshaper.org)
- Useful for geospatial data processing in the browser such as file format conversion, map projection, feature simplification, filtering, clipping, merging etc. Can also be run [locally from the command line](https://github.com/mbloch/mapshaper).
- [Vega-Lite](https://vega.github.io/vega-lite/)
Expand All @@ -47,11 +53,11 @@ Because the challenge is aimed to be open for everyone, the tools listed here wi
- Literate Visualization notebook environment optimised for specifying visualizations and documenting the design process. While not specific to cartography, can be a useful environment for exploring cartographic design.
- [Observable](https://observablehq.com)
- Reactive notebook environment for generation of visualization and cartographic output embedded in a textual narrative. Focus is on using [d3](https://d3js.org) for specifying visual output.

## 🔵 Tutorials + helpful resources 📚

- If you want to make maps with QGIS, [this video](https://www.youtube.com/watch?v=kCnNWyl9qSE) is a great starting point. Check out also other videos by [Klas Karlson](https://www.youtube.com/playlist?list=PLNBeueOmuY163iwu4VpZdjqqdU1HkRTP_)
- [Excellent QGIS introduction YouTube series by Steven Bernard](https://www.youtube.com/playlist?list=PL7HotvlLKHCs9nD1fFUjSOsZrsnctyV2R)
- [QGIS Tutorials and Tips by Ujaval Gandhi](https://www.qgistutorials.com/en/)
- [Tutorial on how to make 3D landscapes and city models by Alasdair Rae](http://www.statsmapsnpix.com/2020/03/making-3d-landscape-and-city-models.html)
- [Blog post by Kenneth Field about the basics of mapmaking](https://medium.com/nightingale/so-you-want-to-make-a-map-58c7f55f6b20)
## Tutorials & Helpful Resources 📚
If you want to make maps with QGIS, this video is a great starting point. Check out also other videos by [Klas Karlson](https://www.youtube.com/playlist?list=PLNBeueOmuY163iwu4VpZdjqqdU1HkRTP_)
- [Steven Bernard's QGIS Introduction](https://www.youtube.com/playlist?list=PL7HotvlLKHCs9nD1fFUjSOsZrsnctyV2R)
- [QGIS Tutorials by Ujaval Gandhi](https://www.qgistutorials.com/en/)
- [3D Landscape Tutorial by Alasdair Rae](http://www.statsmapsnpix.com/2020/03/making-3d-landscape-and-city-models.html)
- [Basics of Mapmaking by Kenneth Field](https://medium.com/nightingale/so-you-want-to-make-a-map-58c7f55f6b20)
8 changes: 5 additions & 3 deletions docs/statistics.md
View file
Original file line number Diff line number Diff line change
@@ -1,8 +1,10 @@
# Daily Tweets Statistics
In 2021 there were more than 1200 mappers and more than 9000 maps created for the challenge. In 2020 more than 1000 people posted more than 7000 maps for the challenge on different platforms.
Every year the challenge gathers thousands of mappers around the globe. As the challenge has spread across various platforms, gathering statistics has proven to be nearly impossible.

[#30DayMapChallenge bot by Haifeng Niu harvested comprehensive stats and maps from the challenge](https://github.com/hn303/30DayMapChallenge-Bot)
In 2021 there were more than 1200 mappers and more than 9000 maps created for the challenge. In 2020 more than 1000 people posted more than 7000 maps for the challenge on different platforms. If you want to see some maps from past challenges, browse the hashtag on [X](https://twitter.com/search?q=%2330DayMapChallenge&src=typed_query) or check the official [website](https://30daymapchallenge.com/) of the challenge and browse different years.

Check the [30DayMapChallenge2020Metadata repository](https://github.com/dakvid/30DayMapChallenge2020Metadata) by David Friggens and give your contribution there. The aim there is to create an interactive gallery of the results.
[#30DayMapChallenge bot by Haifeng Niu harvested comprehensive stats and maps from the challenge](https://github.com/hn303/30DayMapChallenge-Bot)

In 2020 & 2019 David Friggens did a huge lift on the [30DayMapChallenge2020Metadata repository](https://github.com/dakvid/30DayMapChallenge2020Metadata) with metadata & interactive gallery.

![](https://raw.githubusercontent.com/hn303/30DayMapChallenge-Bot/master/static/maps_count.png)
1 change: 1 addition & 0 deletions mkdocs.yml
View file
Original file line number Diff line number Diff line change
Expand Up @@ -28,6 +28,7 @@ theme:
- navigation.tabs
- search.suggest
- search.share
- back-to-top: false
palette:
- scheme: default
primary: deep blue
Expand Down

0 comments on commit ce85285

Please sign in to comment.