Thirty Days of Mapping (FME-ing) #30DayMapChallenge 2023
Topi Tjukanov of Finland launched the #30DayMapChallenge in 2019 where hundreds of maps were made and shared on social media using the #30DayMapChallenge hashtag. Each days presents a map challenge focused on a different spatial feature or topic.
The topics for #30dayMapChallenge 2023 were:
As a die hard user of FME from (Safe Software),what could be a better opportunity to put my FME skills to test!
I have been participating in #30DayMapChallenge @tjukanov since 2019.
Since 2020, I have been able to post an entry on all the 30 days of #30DayMapChallenge.
And that calls for a celebration! because it is a haul! (fourth consecutive year of posting all 30 days of the challenge)
This post is a collection of all entries for #30DayMapChallenge 2023 by @Saint_GIS, most of which have been accomplished only using FME and in few cases, due to the nature of the challenge, the data prepared using FME.
Special thanks to Mark Ireland, Dmitri Bagh at Safe Software for all the inspiration!
Happy FME-ing :-) reading my #30DayMapChallenge 2023 entries!
First entry for the #30DayMapChallenge 2023- Some places (Points) with population more than 1.5 million generated using FME from Safe Software.
01-Nov-2023 Day 1: Points #30DayMapChallenge 2023
Some places in India with more than 1.5 million population (2023)
Visualization generated using FME from Safe Software and Google Earth for visualization.
Thanks to Simplemaps for their free World Cities Database!
https://simplemaps.com/data/world-cities
02-Nov-2023 Day 2: Lines #30DayMapChallenge 2023
Major Cities On or Near the Equator Line
Visualization generated using MapnikRasterizer in FME from Safe Software
Thanks to Simplemaps for their free World Cities Database!
https://simplemaps.com/data/world-cities
Made with Natural Earth Data
https://www.naturalearthdata.com
03-Nov-2023 Day 3: Polygons #30DayMapChallenge 2023
Minimum Bounding Rectangle (MBR) Polygons for World Countries by Sovereignty
Data prepared using FME from Safe Software and visualization using QGIS
Data Source:
Made with Natural Earth Data
https://www.naturalearthdata.com
04-Nov-23 Day 04: A Bad Map #30DayMapChallenge 2023
Top 10 Countries by Crime Rate (2023)
Visualization generated using MapnikRasterizer in FME from Safe Software
Data Sources:
Made with Natural Earth
https://www.naturalearthdata.com
"Crime Rate by Country 2023", World Population Review
https://worldpopulationreview.com/country-rankings/crime-rate-by-country
Second Entry for Day 4
04-Nov-23 Day 04: A Bad Map #30DayMapChallenge 2023
The World’s Most War-Torn Countries (2023)
Visualization generated using MapnikRasterizer in FME from Safe Software
Data Sources:
"World's Most War Torn Countries", World Population Review
https://worldpopulationreview.com/country-rankings/war-torn-countries
Made with Natural Earth
https://www.naturalearthdata.com
"If we don't end war, war will end us" H.G. Wells
Anything war can do, peace can do better.
Let peace prevail on planet earth!
05-Nov-23 Day 05: Analog Map #30DayMapChallenge 2023
FME Snake and Ladder Analog Map Board Game
Conceived by Raghavendran S (@Saint_GIS)
The FME Snakes and Ladders Analog Map Board Game is a hand-crafted map based game devised using an old discarded A0 size plot of a District Map. The game track and other features are hand drawn, in some cases stickers used. Thanks to Safe Software for the stickers.
This analog map based board game is all about reaching the kingdom of interoperability where formats and data types do not matter! Of course one has to overcome all the obstacles mid-way. Thanks to FME from Safe Software.
These obstacles can be overcome easily :-)
This analog map based board game is a reflection of my endless love for FME!
06-Nov-23 Day 06: Asia #30DayMapChallenge 2023
Physicians per 1,000 people for some Asian Countries for 2020
Visualization generated using MapnikRasterizer in FME from Safe Software
Data Sources:
The World Bank
Physicians (per 1,000 people)
World Health Organization's Global Health Workforce Statistics, OECD, supplemented by country data.
https://data.worldbank.org/indicator/SH.MED.PHYS.ZS
Made with Natural Earth
https://www.naturalearthdata.com
07-Nov-23 Day 7: Navigation #30DayMapChallenge 2023
The Longest Walking Route in the World
Cape Town (South Africa) to Magadan (Russia)
Visualization generated using MapnikRasterizer in FME from Safe Software
Data Sources:
Google Maps
Made with Natural Earth
https://www.naturalearthdata.com
08-Nov-23 Day 8: Africa #30DayMapChallenge 2023
Life Expectancy at Birth (years) for African Countries (2021)
Visualization generated using MapnikRasterizer in FME from Safe Software
Data Sources:
The World Bank
https://data.worldbank.org/indicator/SP.DYN.LE00.IN
Made with Natural Earth
https://www.naturalearthdata.com
09-Nov-23 Day 9: Hexagons #30DayMapChallenge 2023
Human Development Index (2021) for World Countries as Hexagons
Visualization generated using MapnikRasterizer in FME from Safe Software
Data Sources:
UNDP "Human Development Report"
https://hdr.undp.org/data-center/human-development-index#/indicies/HDI
Made with Natural Earth
https://www.naturalearthdata.com
10-Nov-23 Day 10: North America #30DayMapChallenge 2023
Electric Vehicle Registrations (2022)-North America Continent
(Light-duty all electric vehicles only)
Visualization generated using MapnikRasterizer in FME from Safe Software
Data Sources:
Alternative Fuels Data Center, U.S. Department of Energy
https://afdc.energy.gov/data/10962
DIVA-GIS
https://www.diva-gis.org/
Made with Natural Earth
https://www.naturalearthdata.com
11-Nov-23 Day 11: Retro #30DayMapChallenge 2023
Pulicat Lake and Environs (1955) overlaid with current OpenStreetMap layers
Visualization generated using MapnikRasterizer in FME from Safe Software
Data Sources:
ND 44-10 Madras. Tile of the Map India and Pakistan 1:250,000. Series U502, U.S. Army Map Service, 1955
https://maps.lib.utexas.edu/maps/ams/india/
© OpenStreetMap
Accessed on 10-November-2023
12-Nov-23 Day 12: South America #30DayMapChallenge 2023
UNESCO World Heritage Sites in South America
Visualization generated using MapnikRasterizer in FME from Safe Software
Data Sources:
UNESCO World Heritage List
https://whc.unesco.org/en/list/
Made with Natural Earth
https://www.naturalearthdata.com
13-Nov-23 Day 13: Choropleth #30DayMapChallenge 2023
Life Expectancy at Birth,total (years) for World Countries (2021)
Visualization generated using MapnikRasterizer in FME from Safe Software
Data Sources:
The World Bank
https://data.worldbank.org/indicator/SP.DYN.LE00.IN
Made with Natural Earth
https://www.naturalearthdata.com
14-Nov-23 Day 14: Europe #30DayMapChallenge 2023
Percentage of Total Population aged 65 years and above for European Countries (2022)
Visualization generated using MapnikRasterizer in FME from Safe Software
Data Sources:
The World Bank
https://data.worldbank.org/indicator/SP.POP.65UP.TO.ZS
Made with Natural Earth
https://www.naturalearthdata.com
15-Nov-23 Day 15: OSM #30DayMapChallenge 2023
What an auspicious day!
GIS Day 2023
With #iccworldcup2023 #worldcup2023 #worldcupcricket fever gripping everyone and #indiancricketteam facing the #newzealand team today in the semi-finals of #worldcup2023 #cricket was my natural choice for the #30daymapchallenge post today!
#cricket Pitches and Cricket Nets in and around Chennai from Open Street Map (Leisure Layer: "pitch")
Visualization generated using MapnikRasterizer in FME from Safe Software
Data Sources:
OpenStreetMap
Accessed on 13-November-2023
16-Nov-23 Day 16: Oceania #30DayMapChallenge 2023
Life Expectancy at Birth, total (years) for 14 Oceania Countries (2021)
Visualization generated using MapnikRasterizer in FME from Safe Software
Data Sources:
The World Bank
https://data.worldbank.org/indicator/SP.DYN.LE00.IN
Made with Natural Earth
https://www.naturalearthdata.com
17-Nov-23 Day 17: Flow #30DayMapChallenge 2023
Traffic Index by Country (2023)
Visualization generated using MapnikRasterizer in FME from Safe Software
Data Sources:
Numbeo
https://www.numbeo.com/traffic/rankings_by_country.jsp?title=2023
Made with Natural Earth
https://www.naturalearthdata.com
18-Nov-23 Day 18: Atmosphere #30DayMapChallenge 2023
Average Precipitation in Depth (mm per year) for 2020
Average hashtag#precipitation is the long-term average in depth (over space and time) of annual precipitation in the country. Precipitation is defined as any kind of water that falls from clouds as a liquid or a solid.
Visualization generated using MapnikRasterizer in FME from Safe Software
Data Sources:
The World Bank
https://data.worldbank.org/indicator/AG.LND.PRCP.MM
Made with Natural Earth
https://www.naturalearthdata.com
19-Nov-23 Day 19: A 5-minute map #30DayMapChallenge 2023
A map generated in 5 minutes to demonstrate the Speed of Data Integration using MapnikRasterizer and FeatureShuffler in FME from Safe Software
Visualization generated using MapnikRasterizer in FME from Safe Software
Data Sources:
https://engage.safe.com/fme/formats-matrix/
Accessed on 19-Nov-23
Made with Natural Earth
https://www.naturalearthdata.com
20-Nov-23 Day 20: Outdoors #30DayMapChallenge 2023
Kalindi Khal Trek Route (Gangotri to Badrinath ~100Km)
Kalindi Khal Trek is a high altitude mountain pass connecting Gangotri and Badrinath.The pass is heavily glaciated. The glacier west of the pass flows into the Gangotri Glacier which forms the source of the Ganges. Even though the Kalindi khal is the most famous trekking pas in the Garhwal Himalaya, it is nevertheless a challenging high altitude glacial trek. This is the 2nd Highest pass of The Himalayan Range. The trek takes minimum of 6 days if already acclimatized. The trek is usually done in summer from mid-June to mid-September.
Maximum Altitude: 5950 m or 19,500 ft (Approx)
Visualization generated using MapnikRasterizer in FME from Safe Software
Data Sources:
Sharada Prasad Chitradurga Srinivasa Murthy
GPX file – Kalindi Khal pass trek
https://sharadaprasad.com/post/465/
contact@sharadaprasad.com
Cartosat-1 DEM - Version-3R1
Bhuvan NOEDA Data
National Remote Sensing Centre, ISRO
OpenStreetMap
21-Nov-23 Day 21: Raster #30DayMapChallenge 2023
K2 or Kanchenjunga
Kangchenjunga, also spelled hashtag#Kanchenjunga, Kanchanjanghā and Khangchendzonga (The five treasures of the high snow), is the third-highest mountain in the world. Its summit lies at 8,586 m (28,169 ft) in a section of the Himalayas, the Kangchenjunga Himal, which is bounded in the west by the Tamur River, in the north by the Lhonak River and Jongsang La, and in the east by the Teesta River. It lies in the border region between Nepal and Sikkim state of India, with three of the five peaks, namely Main, Central and South, directly on the borderand the peaks West and Kangbachen in Nepal's Taplejung District. [Wikipedia, the Free Encyclopedia]
Visualization generated using MapnikRasterizer in FME from Safe Software
Data Sources:
Cartosat-1 DEM - Version-3R1
Bhuvan NOEDA Data
National Remote Sensing Centre, ISRO
22-Nov-23 Day 22: North #30DayMapChallenge 2023
South Up or Upside Down or Reversed Map of the World (of course using FME from Safe Software)
South-up map orientation is the orientation of a map with south up, at the top of the map, amounting to a 180-degree rotation of the map from the standard convention of north-up. Maps in this orientation are sometimes called upside down maps or reversed maps.
The history of south-up map orientation as political statement can be traced back to the early 1900s. Joaquín Torres García, a Uruguayan modernist painter, created one of the first maps to make a political statement related to north-south map positions entitled "América Invertida". "Torres-García placed the South Pole at the top of the earth, thereby suggesting a visual affirmation of the importance of the (South American) continent."
A popular example of a south-up oriented map designed as a political statement is "McArthur's Universal Corrective Map of the World" (1979). An insert on this map explains that the Australian, Stuart McArthur, sought to confront "the perpetual onslaught of 'downunder' jokes—implications from Northern nations that the height of a country's prestige is determined by its equivalent spatial location on a conventional map of the world".McArthur's Universal Corrective Map of the World (1979) has sold over 350,000 copies to date. [Wikipedia, the Free Encyclopedia]
Visualization generated using MapnikRasterizer in FME from Safe Software
Data Sources:
Made with Natural Earth
https://www.naturalearthdata.com
23-Nov-23 Day 23: 3D #30DayMapChallenge 2023
K2 or Kanchenjunga in 3D
Kangchenjunga, also spelled hashtag#Kanchenjunga, Kanchanjanghā and Khangchendzonga (The five treasures of the high snow), is the third-highest mountain in the world. Its summit lies at 8,586 m (28,169 ft) in a section of the Himalayas [Wikipedia, the Free Encyclopedia]
Visualization using FME Data Inspector utility in FME from Safe Software
The FME Data Inspector is a utility that allows you to view and save data in any FME-supported format. It is used primarily to preview data before translation and to verify it after the translation. It can also be used to check data at any point during a translation; as you use FME, you'll find the FME Data Inspector is useful when setting up complex transformations because you can examine the output at each step.
Data Sources:
Cartosat-1:DEM - Version-3R1: Bhuvan NOEDA Data
National Remote Sensing Centre, ISRO
24-Nov-23 Day 24: Two Colours #30DayMapChallenge 2023
Continents Surrounded (Black) and Not Surrounded (White) Completely by Ocean in Two Colors
Of the seven most globally recognized continents, only Antarctica and Australia are completely separated from other continents by the ocean. Several continents are defined not as absolutely distinct bodies but as "more or less discrete masses of land".
https://en.wikipedia.org/wiki/Continent
[Wikipedia, the Free Encyclopedia]
Visualization generated using MapnikRasterizer in FME from Safe Software
Data Sources:
Shepherd, Stephanie (2020). Continent Polygons. figshare.
Dataset.
https://figshare.com/articles/dataset/Continent_Polygons/12555170/3
25-Nov-23 Day 25: Antarctica #30DayMapChallenge 2023
Antarctica: Contour Map with Places
Visualization generated using MapnikRasterizer in FME from Safe Software
Data Sources:
British Antarctic Survey
Gerrish, L., Fretwell, P., & Cooper, P. (2020). High resolution vector contours for Antarctica (7.3) [Data set]. UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation.
https://data.bas.ac.uk/items/4bd20a2b-df7d-46a2-acdf-5104c82ff4c7/
MapCruzin
https://mapcruzin.com/free-antarctica-country-city-place-gis-shapefiles.htm
26-Nov-23 Day 26: Minimal #30DayMapChallenge 2023
25 Least Polluted Cities in the World (2023)
Visualization generated using MapnikRasterizer in FME from Safe Software
Data Sources:
Smart Air
25 Least Polluted Cities and Countries in the World (2023 Rankings)
https://smartairfilters.com/en/blog/25-least-polluted-cities-in-world-2023-rankings/
Shepherd, Stephanie (2020). Continent Polygons. figshare. Dataset.
https://figshare.com/articles/dataset/Continent_Polygons/12555170/3
27-Nov-23 Day 27: Dot #30DayMapChallenge 2023
World Countries by Sovereignty using Different Colored Dots (69,313 Points)
Visualization generated using MapnikRasterizer in FME from Safe Software
Data Sources:
Made with Natural Earth
https://www.naturalearthdata.com
28-Nov-23 Day 28: Is this a chart or a map? #30DayMapChallenge 2023
Women in National Parliaments (October 2023): Top 25
Visualization generated using MapnikRasterizer in FME from Safe Software
Data Sources:
Inter-Parliamentary Union
Inter-Parliamentary Union: Women in National Parliaments, October 2023
https://data.ipu.org/women-ranking?month=10&year=2023
Made with Natural Earth
https://www.naturalearthdata.com
29-Nov-23 Day 29: Population #30DayMapChallenge 2023
Population Density (people per sq.km of land area) 2021
Visualization generated using MapnikRasterizer in FME from Safe Software
Data Sources:
The World Bank
https://data.worldbank.org/indicator/EN.POP.DNST
Made with Natural Earth
https://www.naturalearthdata.com
30-Nov-23 Day 30: My Favourite! #30DayMapChallenge 2023
My Favourite!
Of course my favourite is FME from Safe Software
I take this last day of #30DayMapChallenge 2023 opportunity to show my affinity for FME by creating a world map flooded with my affinity for FME !
Without FME from Safe Software, the #30DayMapChallenge 2023 would have been a herculean task!
Visualization generated using MapnikRasterizer in FME from Safe Software
Data Sources:
Made with Natural Earth
https://www.naturalearthdata.com
30-Nov-23 Day 30: My Favourite! (second entry) #30DayMapChallenge 2023
My Favourite!
A happy world is what I like more than anything else!
Let peace prevail!
Visualization generated using MapnikRasterizer in FME from Safe Software
Data Sources:
Made with Natural Earth
https://www.naturalearthdata.com
It may be 30 days of grueling, brainstorming; putting all your learning and experience into practice or self test To me, the whole idea of participating and contributing to #30DayMapChallenge 2023 is about promoting #GIS
But then the satisfaction in having contributed to promotion of GIS outweighs everything else!
GIS Temper, Let us not lose it!
I take this opportunity to thank all those who contributed in some way or the other, to my career and to what I am today in the field of GIS!
Thanks to Safe Software for such a wonderful product/platform "FME" that helped me to convert,transform,share and integrate data from multi-farious sources and types, not just for this #30DayMapChallenge 2023, but for the last 23 years of my career in GIS
Last but not the least, special thanks to my family (my wife and son) for all the patience, understanding and support, while I meticulously worked on the submission every day!
More information about Topi Tjukanov (#30DayMapChallenge conceptualizer) https://medium.com/@tjukanov
https://twitter.com/tjukanov
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