30DayMapChallenge-2023
These maps are the entries for the challenge.
Day-1: POINTS
Title: Towns Distribution Across Ghana
The map shows how towns are distributed across the 16 Regions of Ghana Ghana is divided into 228 districts, comprising ordinary districts with populations under 75,000, municipality districts with populations ranging from 75,000 to 95,000, and metropolitan districts with populations exceeding 250,000.
Tools: Excel, QGIS
Data Source: 🔗 https://statsghana.gov.gh/
🔗 https://www.citypopulation.de/en/ghana/admin/
#30daymapchallenge #datavisualization #geography #GIS ##cartography
Day-2: LINES
Title: Flight Route to DjangoCon US 2023, Durham, North Carolina
The total flight hours was 22 hours!😂 Being in the air for more done half a day aside layover hours was a different feeling all together👌 It reminds me of a good moment I had throughout the whole journey and oh, @Djangocon ended few weeks ago!🙌
Tools: Google Sheet, QGIS
Data Sources: 🔗 www.efrainmaps.es
🔗 www.ourairports.com
#30daymapchallenge #30DayMapChallenge #Djangoconus2023 #datavisualization #geography #GIS #cartography.
Day-3: POLYGONS
Title: Map of Lakes Across the World
The output for the challenge was to visualize the Lakes in the world (POLYGONS) both as an interactive web map and a paper formats. Both turned out to be good but I like the web map!😍
WebMap: https://iamdreamo.github.io/Webmap-for-Day3-30daysChallenge/
Data Source: 🔗 www.efrainmaps.es
Tools: QGIS, Windows Clipchamp
#30daymapchallenge #30DayMapChallenge #datavisualization #geography #GIS #cartography
Day-4: A BAD MAP
Title: What is a bad map?
What makes up a bad map? Any map that fails to answer WHAT,WHERE, WHEN, and WHO? question is a bad map Any map that lacks any of the following features and cannot answer the questions above can be described as a bad map regardless of the symbology
- Title
- North Arrow (Navigation/Direction)
- Grid/Coordinate System
- Legend
- Scale
- Bibliographical Information
Data Source: 🔗 www.efrainmaps.es
Tools: QGIS
#30daymapchallenge #30DayMapChallenge
Day-5: ANALOGUE MAP
Title: Mo’orea Volcanic Island
Link to Analogue Video: (https://github.com/iamDREAMO/My-30DayMapChallenge2023/assets/89151426/4fec1029-1ec7-4d3a-8996-6f2cf151b921)
I crafted the terrains of Moorea which is a Volcanic Island located in French Polynesia.
Tools: My hand and Imaginations😂👍🏾
#30daymapchallenge #30DayMapChallenge #datavisualization #geography #GIS #cartography
Day-6: ASIA
Title: Country Cities in Asia
The map shows the cities of the countries on the continent, Asia. By far, it was difficult in accessing data for this work. I am opened to sharing of links resources in the comments.
Tools: Everything was done in QGIS.
Data Sources: 🔗 www.efrainmaps.es
#30daymapchallenge #30DayMapChallenge #datavisualization #geography #GIS #cartography
Day-7: NAVIGATION
Title: Flight-flow from ACC to neighbouring countries
Straight destination flights are mostly the wish for travelers embarking long journeys. Layovers can be tiring and boring at times. Kotoka International Airport is the only international airport currently in Ghana. Below is a visualization of flight flow from ACC (airport code for Kotoka International Airport) to airports, airfields, and helipads of neighboring countries.
Tools: Everything was done in QGIS
Data Sources: 🔗 www.efrainmaps.es
#30daymapchallenge #navigation #30DayMapChallenge #datavisualization #geography #GIS #cartography
Day 8: AFRICA
Title: Cassava Africa
This map shows the distribution of planted cassava in areas of Africa. Each point is equivalent to 500 hectares in land in Cassava cultivation
Data Source: https://hub.arcgis.com/datasets/
Tool: Visualization was done with QGIS
#30daymapchallenge #navigation #30DayMapChallenge #datavisualization #geography #GIS #cartography
Day 9: HEXAGONS
Title: Elevation of Lesotho
That’s why it was a challenge! Hexagons visualization was new to me but I struggled and did it. I spent time to learn this and that also led me to start my visualization with Blender software. Yes, my first blender work combined with QGIS.
Tools:
- QGIS for hexagons
- DEM of Lesotho was combined with the hexagon layer to form the 3D elevation model in Blender
Data Source: https://www.diva-gis.org/gdata
#30daymapchallenge #30DayMapChallenge #datavisualization #geography #GIS #cartography
Day 10: NORTH AMERICA
Title: Level II Ecoregions of North America
Inspired by the United States Environmental Protection Agency (https://www.epa.gov/eco-research/ecoregions-north-america), this map was recreated to show the 50 Level II ecological regions that have been delineated and intended to provide a more detailed description of the large ecological areas nested within the Level I regions. Level II ecological regions are useful for national and subcontinental overviews of ecological patterns.
Tools:
- QGIS, Blender
Data Source:https://hub.arcgis.com/datasets/
Day 11: RETRO (A blast from the past)
Title: Soil Suitability Map for Mechanised and other Cultivation Practices in Ghana
This map, Soil Suitability Map for Mechanised and other Cultivation Practices in Ghana was produced and printed by the Surrvey Department, Accra, GHANA on May 1971. The original map was visualized into 3D using #Blender. Other details can be found from the attached images.
Tools:
- QGIS
- Blender
Data Source: https://esdac.jrc.ec.europa.eu/ (EUDASM)
#30daymapchallenge #30DayMapChallenge #datavisualization #geography #GIS #cartography
Day 12: SOUTH AMERICA
Title: Geological Map of South America
Between 1928 and 1940, the TCI Cartographic Office for the Italian Encyclopedia of Giovanni Treccani Institute published this map and was printed by the renowned Italian publisher, Antonio Vallardi-Milano.
The creater of this map is Guido Bonarelli, Italian geologist and paleontologist (1871-1951).
The plain map was georeferenced in QGIS, combined with the DEM and modelled in #Blender.
Tools:
- QGIS
- Blender
Data Source:
- Map- https://commons.wikimedia.org/
- DEM- USGS
#30daymapchallenge #30DayMapChallenge #datavisualization #geography #GIS #cartography
Day 13: CHOROPLETH
Title: Hong Kong Population Distribution
The map shows the Hong Kong Population Distribution by Usual Spoken Language by 18 districts in 2021. It is a subset of the 2021 Population Census made available by the Census and Statistics Department under the Government of Hong Kong Special Administrative Region (the “Government”) at https://portal.csdi.gov.hk (“CSDI Portal”).
I recreated the map with a focus on the population of each of the districts.
Tool: QGIS
Data Source: https://hub.arcgis.com/datasets/
#30daymapchallenge #30DayMapChallenge #datavisualization #geography #GIS #cartography
Day 14: EUROPE
Title: Roads - National 250k Map Of Ireland
Ireland was chosen for the theme (Europe) of the 2023 #30daymapchallenge and it is the second-largest island of the British Isles, and the third-largest in Europe.
The map features European roads (E-roads) and connections between built-up areas. In addition to main routes, it includes roads necessary for a fully connected transportation network, such as direct links between areas or routes to isolated places like harbors and airports. Within built-up areas, the map focuses on main roads, ensuring clarity and ease of navigation.
All roads are depicted with a single line, regardless of their size or number of lanes. This dataset is made available by Tailte Éireann.
Tool: QGIS
Data Source: https://data-osi.opendata.arcgis.com/datasets/
#30daymapchallenge #30DayMapChallenge #datavisualization #geography #GIS #cartography
Day 15: OpenStreetMap
Title: Venice, Italy OSM
Throughout the 2023 #30daymapchallenge, I encountered various OSM maps and likely explored most of the methods for acquiring data from sites supported by OSM. I became interested in automating this workflow to obtain a similar map for the challenge theme. I came across Prettymaps, a #Python package for drawing maps with customizable styles using OpenStreetMap data crated by Marcelo de Oliveira Rosa Prates. It is created using the osmnx, matplotlib, shapely, and vsketch packages. The documentation on GitHub provided a smooth experience, outlining the various steps to create and customize OSMs.
I also discovered the webapp version (Prettymap) developed by Christoph Rieke which has improved features on speed and adapted configuration to interface with the webapp.
My map submissions: https://iamdreamo.github.io/30DayMapChallenge-2023/
Tool/Data Source:
- Prettymaps (Source code: https://github.com/marceloprates/prettymaps)
- Webapp (Prettymap)- https://github.com/chrieke/prettymapp)
#30daymapchallenge #30DayMapChallenge #datavisualization #geography #GIS #cartography
Day 16: OCEANIA
Title: Title: 3D Visualized Elevation of Australia
I discovered this map from the archives and decided to visualized it in 3D. The University of Wisconsin American Geographical Society Library Digital Map Collection is a home for so many old maps in different jurisdiction.
Tool: Blender, QGIS
Data Source: University of Wisconsin American Geographical Society Library Digital Map Collection
#30daymapchallenge #30DayMapChallenge #datavisualization #geography #GIS #cartography
Day 17: FLOW
Title: International Students in United States place of Origin from West Africa, 2022/2023
The concept of flow under the 2023 ##30daymapchallenge was geared towards flow of transport and people. I picked on the flow of people and the next step was data sourcing.
Visiting the Open Doors Data organization website revealed a whole set of data. The decision was to visualize the flow of international students from the West Africa Sub-Saharan countries studying in the USA
Tool: Microsoft Excel, QGIS
Data Source:
- www.gh.usembassy.gov/
- www.opendoorsdata.org/
#30daymapchallenge #30DayMapChallenge #datavisualization #geography #GIS #cartography
Day 18: ATMOSPHERE
Title: Global Burning Index (CEMS), 2010
Conditions of the atmosphere either weather or climate were the details for the 2023 #30daymapchallenge Day 18 under the Atmosphere theme. I used Climate Engine for my project during my undergraduate studies and it is an excellent tool with supportive data for analysis and visualization of satellite data in areas of Remote Sensing, Climate, Hydrology and among others.
“Climate Engine tools use Google Earth Engine for on-demand processing of satellite and climate data on a web browser and features on-demand mapping of environmental monitoring datasets, such as remote sensing and gridded meteorological observations.”
Tool: Climate Engine App
Data Source:
- https://app.climateengine.org/
#30daymapchallenge #30DayMapChallenge #datavisualization #geography #GIS #cartography
Day 19: 5min Map
Title: OSM portions of KNUST
The general rule was to spend less than 5 minutes on the map but it took 5 minutes 5 seconds to generate and customize this map.
Prettymaps, a #Python package for drawing maps with customizable styles using OpenStreetMap data crated by Marcelo de Oliveira Rosa Prates. It is created using the osmnx, matplotlib, shapely, and vsketch packages.
Tool: Prettymap- https://prettymapp.streamlit.app/
Data Source:
- OSM
#30daymapchallenge #30DayMapChallenge #datavisualization #geography #GIS #cartography
Day 20: OUTDOORS
Title: Kilimanjaro
Mount Kilimanjaro, situated in the Kilimanjaro Region of Tanzania, is a dormant volcano characterized by three distinct volcanic cones: Kibo, Mawenzi, and Shira. As the tallest mountain in Africa and the highest single free-standing peak above sea level globally, it reaches an impressive elevation of 5,895 meters (19,341 feet) above sea level, towering approximately 4,900 meters (16,100 feet) above its plateau base. This volcanic giant holds the distinction of being the highest volcano not only in Africa but also in the Eastern Hemisphere.
Watch Terrain Video: https://github.com/iamDREAMO/30DayMapChallenge-2023/assets/89151426/f0724d1c-d909-45cd-925c-77ad9411eaec
Tool/Data Source:
- Google Earth Explorer
#30daymapchallenge #30DayMapChallenge #datavisualization #geography #GIS #cartography
Day 21: RASTER (PIXELS)
Title: 3D Bathymetry of New Zealand
This visualization was created from the NIWA’s bathymetry model of New Zealand. With a 250m as the original resolution, I clipped out portions of the model to focus mainly on New Zealand. This represents a significant advancement in our understanding of New Zealand’s underwater landscape. Compiled from various sources including coastal charts, digital soundings archive, and multibeam data from both national and international surveys, this model is a comprehensive representation of the underwater terrain- NIWA Geospatial Data
Find the initial 2D map created below👇
Tool: QGIS. Blender
Data Source:
- https://data-niwa.opendata.arcgis.com/datasets/
#30daymapchallenge #30DayMapChallenge #datavisualization #geography #GIS #cartography
Day 22: NORTH is not always up
Title: Fossil Map of Antarctica
During the 2023 #30daymapchallenge, I discovered one concept about north arrows on maps through a comment from @Mirza Waleed. Not all maps demands north arrows and that decision depends on the kind of data the creator is visualizing (in terms of the extent/area of the place) and more importantly the type of projection being used for the visualization. Read more about this concept from:
- https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/put-a-north-arrow-on-it/
- https://www.esri.com/arcgis-blog/products/product/mapping/does-every-map-need-a-north-arrow-and-scale-bar/
This map is a 3D visualization of the featured map showing the fossil sites for 1970. The original map (2D) is from the American Geographical Society 1970 compiled by Campbell Craddock.
Tool: QGIS, Blender
Data Source:
- Map- University of Wisconsin American Geographical Society Library Digital Map Collection
- DEM- https://portal.opentopography.org/dataCatalog
#30daymapchallenge #30DayMapChallenge #datavisualization #geography #GIS #cartography
Day 23: 3D
Title: Elevation Map of Laos
Laos, situated in Southeast Asia, is intersected by the Mekong River and recognized for its mountainous landscape, remnants of French colonial architecture, communities of hill tribes, and Buddhist monasteries. Vientiane, the capital city, hosts notable landmarks including the That Luang monument, believed to enshrine the Buddha’s breastbone, along with the Patuxai war memorial and Talat Sao (Morning Market), a bustling marketplace filled with a variety of food, clothing, and craft vendors.
The 2D format can be found in below:
Tool: QGIS, Blender
Data Source:
- https://www.diva-gis.org/gdata
#30daymapchallenge #30DayMapChallenge #datavisualization #geography #GIS #cartography
Day 24: BLACK & WHITE
Title: Homebush Bay, Sydney
Homebush Bay, situated on the southern bank of the Parramatta River in western Sydney, Australia, encompasses not only the bay itself but also an adjacent area to its west and south. Once recognized as an official suburb of Sydney, this area now comprises the suburbs of Sydney Olympic Park, Wentworth Point, and a portion of the neighboring suburb of Lidcombe, all within the jurisdiction of the City of Parramatta. Homebush Bay lies approximately 13 kilometers (8.1 miles) west of Sydney’s central business district.
Tool:
- Prettymap- https://prettymapp.streamlit.app/
- QGIS
Data Source:
- OSM
#30daymapchallenge #30DayMapChallenge #datavisualization #geography #GIS #cartography
Day 25: ANTARCTICA
Title: Antarctica 1987
This is a 3D visualization of an old Antarctic map from the University of Wisconsin Library and it shows the terms under the terms of the Treaty in 1991, signatory nations are required to utilize Antarctica solely for peaceful activities. This includes prohibiting any military activities, such as weapon testing, as well as the detonation of nuclear devices or the disposal of radioactive waste within the region. The copyright of the original map is attributed to Washington D.C. National Geographic Society 1987.
The original map (2D) is from the American Geographical Society👇
Tool:
- Blender
- QGIS
Data Source:
- University of Wisconsin- American Geographical Society Library Digital Map Collection
#30daymapchallenge #30DayMapChallenge #datavisualization #geography #GIS #cartography
Day 26: MINIMAL
Title: Elevations of Madagascar
During the 2023 #30daymapchallenge, this map (elevation in meters) was created using the Contour Polygon tool in #QGIS under the theme, Minimal- less is more.
Contour polygons in QGIS refer to the process of generating polygon features from contour lines, which are lines representing points of equal elevation on a map. These polygons are created by connecting the contour lines to form closed shapes, allowing for the visualization of areas with similar elevation levels.
Tool:
- QGIS
Data Source:
- DIVA GIS - https://www.diva-gis.org/gdata
#30daymapchallenge #30DayMapChallenge #datavisualization #geography #GIS #cartography
Day 27: DOT
Title: Open Pubs in UK
Under the theme, Dot of the 2023 #30daymapchallenge, this map was created to visualize the pubs in UK. In my search for data, I found the GetTheData website It’s all about organizing UK open data into location-based dashboards. What’s really cool is that it not only surfaces the available data but also provides clear signposts to the original sources.
One of the standout features is the GetTheData panel that accompanies each dataset they publish. This panel explains exactly where you can access the data and view its license. It’s incredibly user-friendly and a great resource for anyone interested in exploring open data in the UK.
I’ve found it super helpful, and I think you all will too. Check it out when you get a chance!
Tool:
- QGIS
Data Source:
- https://www.getthedata.com/open-pubs
Day 28: CHART/MAP
Title: Japanese Season
Is this a chart or a map? In thematic maps, you can’t always tell. This features an article I read about Japanease Season.
Japan’s climate, as outlined by the Japan Meteorological Agency, showcases a diverse range of weather patterns across its regions. From subarctic conditions in the north to subtropical climates in the south, Japan experiences four distinct seasons.
The climate varies between the Pacific and Sea of Japan sides, with northern Japan witnessing warm summers and freezing winters, characterized by heavy snowfall in mountainous and coastal areas. Eastern Japan, on the other hand, endures hot and humid summers alongside cold winters, with significant snowfall in specific regions.
Moving westward, Japan experiences very hot and humid summers, with temperatures occasionally soaring above 35°C, while winters are relatively moderate. The southern regions of Okinawa and Amami enjoy a subtropical oceanic climate, featuring warm and humid summers and mild winters, with temperatures rarely exceeding 35°C.
This climatological data, based on averages from the period of 1981-2010, sheds light on the diverse and contrasting weather conditions found across Japan’s various regions.
Map: https://www.sunny-spot.net/english/AboutJapaneaseSeason.html?area=0
Data Source: https://www.jma.go.jp/jma/indexe.html
#30daymapchallenge #30DayMapChallenge #datavisualization #geography #GIS #cartography
Day 29: POPULATION
Title: Ghana Population Density 2020, UN Adjusted
The day’s task for the 2023 #30daymapchallemge was about Population. I decided give this theme to my motherland, Ghana and visualize the population density from the available WorldPop Hub #geodatabase.
The data is available for download in Geotiff and ASCII XYZ formats, this dataset offers insights into population distribution at a resolution of 30 arc (about 1km at the equator). Utilizing a Geographic Coordinate System (WGS84), the data provides information on the number of people per square kilometer, derived from country totals adjusted to align with official United Nations population estimates from the Population Division of the Department of Economic and Social Affairs of the United Nations Secretariat (2019 Revision of World Population Prospects).
It was my first time using Aerialod for 3D visualization and I really loved it!
Tools:
- Aerialod- https://ephtracy.github.io/index.html?page=aerialod
- QGIS
Data Source:
- GeoTIFF- https://hub.worldpop.org/geodata/
#30daymapchallenge #30DayMapChallenge #datavisualization #geography #GIS #cartography
Day 30: MY FAVORITE
Title: 2023 #30daymapchallenge Wrap!
This is the wrap after completing the 2023 #30DayMapChallenge, an incredible journey of exploring various concepts and honing my map-making skills with you all.
From navigating through different themes each day to mastering new software tools, this challenge has truly expanded my skill set and opened doors to endless possibilities in cartography.
Throughout the challenge, I delved into GIS and Remote Sensing concepts, applying them creatively to craft captivating maps that captured the essence of each theme. Now, as I reflect on this achievement, I’m filled with gratitude for the invaluable learning experience and excited to tackle future challenges head-on.
#MapChallenge #GIS #Cartography #RemoteSensing #30daymapchallenge #30DayMapChallenge #datavisualization #geography #GIS #cartography