Thirty Days of Mapping (FME-ing) #30DayMapChallenge 2022

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 2022 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 hat-trick.

This post is a collection of all entries for #30DayMapChallenge 2022 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.

Some entries additionally have their #FMEAR Augmented Reality versions as well.

Special thanks to Dmitri Bagh and Lena Bagh at Safe Software for all the inspiration!

Happy FME-ing :-) reading my #30DayMapChallenge 2022 entries!

Day 1: Points
First entry for the #30DayMapChallenge 2022- Some places (Points) with population more than 1.5 million generated using FME from Safe Software

Additionally here is a #FMEAR version of this post

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Day 2: Lines

NH548 and NH118 are supposed to be the two shortest National Highway in #India 5 Km (3.1 mi) 

Data prepared using FME from Safe Software.

Additionally here is a #FMEAR version of this post

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Day 3: Polygons
World Countries by Sovereignty (Sovereignty represented through Concave Hull Polygons) using FME from Safe Software

Additionally here is a #FMEAR version of this post

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Day 4: Green

Map of National Trees of Some Countries rendered using MapnikRasterizer in FME from Safe Software

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Day 5: Ukraine
3D map of Mt Hoverla in Ukraine generated using FME from Safe Software

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Day 6: Network

3D Visualization of Traffic Signals Network from OpenStreetMap for Chennai using MapnikRasterizer in FME from Safe Software

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Day 7: Raster
DEM Raster visualization of Mt Hoverla in Ukraine using MapnikRasterizer in FME from Safe Software

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Day 8: Data: OSM
Restaurants in Chennai within 50m from certain OSM Highway types using MapnikRasterizer in FME from Safe Software

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Day 9: Space (space: a place or an area that is empty or not used)

Devon Island, Canada: The largest uninhabited island in the world

Visualization generated using FME from Safe Software

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Day 10: A Bad Map
Top 5 Countries by Crime Rate (2022) using MapnikRasterizer in FME from Safe Software

Another entry for (An Intentionally) Bad Map

For some fun, World Map with Countries Offset Randomly in X & Y Direction from their Original Location using custom FME Workspace.

(Original position shown in black outline without fill)

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Day 11: Colour Friday: Red

Infant Mortality Rate >=10 per 1000 Live Births (2020)

Map generated using MapnikRasterizer in FME from Safe Software

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Day 12: Scale

Map to Demonstrate the Significance of Scale

Africa Continent Administrative Boundaries at 1:10 million and 1:110 million Scale overlaid using FME from Safe Software

Map generated using MapnikRasterizer in FME from Safe Software

Boundaries in Red at 1:110 million scale (Small Scale=Less details)

Boundaries in Black at 1:10 million scale (Large Scale=More details)  

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Day 13:A 5 minute map

Map to Demonstrate the Speed of Data Integration using FME from Safe Software with MapnikRasterizer and MapTextLabeller

OpenStreetMap of Chennai with Road Names replaced with some formats supported by FME 2022

Map generated using MapnikRasterizer in FME from Safe Software

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Day 14:Hexagons

Our World in 112,269 Hexagons generated using FME from Safe Software and QGIS

 

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Day 15:Food/Drink

National Food (Official/Unofficial) of some countries

Visualization generated using MapnikRasterizer in FME from Safe Software

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Day 16: Minimal

The Republic of #Nauru (Pleasant Island), Smallest Island Nation
Map generated using FME from Safe Software

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Day 17:Map without a computer

A hand drawn sketch map of the neighborhood of a die hard #FME fan, FME user, FME Certified Professional & Trainer, FME Server Certified Professional and FME Business Certified Professional

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Day 18: Colour Friday: Blue

Global Lakes (area ≥ 50 km2) and Reservoirs (storage capacity ≥ 0.5 km3) 

Visualization generated using MapnikRasterizer in FME from Safe Software

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Day 19:Globe

Earth is not flat and that is why we have this completely FME from Safe Software

3D globe generated using Dmitri Bagh's (Safe Software) original workspace  with changes

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Day 20:My Favourite: Human Development Index (2022)

Human Development Index (2022) of some Countries

Map generated using MapnikRasterizer in FME from Safe Software

 

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Day 21:Data Kontur Population Dataset

(Global Population Density for 400m H3 Hexagons)

400m hexagon grid with population >=5000 #TamilNadu #India

Hexagons in red means population >=5000

Map generated using MapnikRasterizer in FME from Safe Software

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Day 22:Null

World Map using 82,922 "NULL" text string

Map generated using MapnikRasterizer in FME from Safe Software

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Day 23:Movement

Traffic Index of some Countries (2022)

Map generated using MapnikRasterizer in FME from Safe Software

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Day 24:Fantasy

The Fantasy World of FME Lizards and FME Zipsters FME Lizard

Fantasy map completely generated using MapnikRasterizer in FME from Safe Software

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Day 25:Colour Friday-2 Colours
Some countries with bicolour flag  Day 26:Choropleth
Worldwide Estimated Cancer Deaths (2020)
Map generated using MapnikRasterizer in FME from Safe Software

 

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Day 26:Island(s)

Flevopolder, The Netherlands

Largest man-made island

Map generated using MapnikRasterizer in FME from Safe Software

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Day 27:Music

National Music Instruments of Some Countries

(Official & Unofficial)

Map generated using MapnikRasterizer in FME from Safe Software

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Day 28:3D

3D view of Kotagiri in The Nilgiris, India

3D Map generated using #FME from Safe Software

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Day 29:Out of my comfort zone

Life Expectancy at Birth in Years (2019) for some Countries

Visualization using Qlik Sense Desktop from Qlik

Data loading and data preparation using FME from Safe Software

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Day 30: Remix

A newer versionof a map that I had done during the #30DayMapChallenge 2022 or a map done by someone else and do your own version.I wanted to post on the dangers of climate change on atleast one of the #30DayMapChallenge days.

I was planning to do a 3D on Day 28 using #MapnikRasterizer

But finally got to do it on Day 30:Remix

Kind of 3D visualization effect using MapnikRasterizer in FME from Safe Software

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It may be 30 days of gruelling, brainstorming; putting all your learning and experience into practice or self test To me, the whole idea of participating and contributing to #30DayMapChallenge 2022 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 2022, but for the last 22 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

The Mapophobic to Mapophilic Transformation

If you had chanced to look into maps made in medieval times, the dragons, multi-headed serpents and other strange fictional creatures marking the distant and unexplored lands on the edges of maps must have surely scared you. Cartographers of medieval times used the inscription HIC SVNT LEONES (“Here are Lions”) and notation of strange or mythical creatures to invoke the harm that sailors feared to encounter when entering previously uncharted territories. Mathematics has been a bitter pill for many as kids. Nevertheless, geography and maps too have been a phobia to many as well. From spatially locating continents, countries, states, cities on a map to getting the capitals right, it has been a nightmare for many experiencing symptoms from racing hearts, sweating, dizziness, disorientation and panic when looking at maps.

MapQuest founded in 1967 as a cartographic services division of R.R. Donnelley & Sons launched online maps, the web services version of present day in 1996. MapQuest is still one of the most widely used online mapping services. Google’s findings in 2004 that over 25% of its searches were of a geospatial character, including searches for maps and directions laid the foundation for its acquisition of Keyhole, the core technology behind Google Earth. Later in 2005, Google Maps was launched, which first started as a C++ program designed by two Danish brothers, Lars and Jens Eilstrup Rasmussen.

Where are we?
Thanks to web & mobile based global online map services such as Google Maps, MapQuest, Open Street Maps and Bing Maps to name a few, for having revolutionized the reach of maps. We live in interesting times, where maps are the order of the day. From daily commute to work, holiday planning to exotic places, shortest routing for emergency response, catastrophic natural disaster preparedness & relief, strategic planning to global warming, maps are used everywhere. There is a lot more awareness about importance of location intelligence and Geographical Information System (GIS). People are no more phobic to maps but philic. Maps, location intelligence and GIS are becoming part of our everyday lives sometimes even without us being aware!
The power of location intelligence is of more importance than ever for businesses of this age. Location intelligence is the main stay of several disruptive innovations of today and continues its key position in futuristic disruptive technologies such as Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML), Unmanned Aerial Vehicle (UAV), Augmented Reality (AR), Spatial Augmented Reality (SAR), Virtual Reality (VR), Autonomous Vehicles (AV), Computer Vision (CV) etc.

The Challenges
With mobile/connected devices becoming ubiquitous today, the amount of location data generated is enormous. Ever growing location intelligence based disruptive innovations and platforms together with disruptive technologies are proving to be the key differentiator to businesses to improve customer experience, drive revenue and increase operational efficiency. Disruptive technologies like IoT, AV, CV, UAVs etc. are delivering information that has never been possible before, creating entirely new avenues for geospatial data collection, while posing challenges for geospatial data storage, retrieval and analysis. Location-based analytics and platforms that can process and detect trends and provide intelligence are becoming more popular. This has resulted in greater adoption of cloud-based platforms for enterprise GIS deployment involving big data.
Gartner, Inc. had forecast that 8.4 billion connected things to be in use worldwide in 2017, 110 percent of the world population estimated at 7.6 billion as of April 2018, up 31 percent from 2016, and predicted to reach 20.4 billion by 2020.
Big data is all about the notorious five Vs: Volume, Variety, Velocity and Veracity. With disruptive technologies based location intelligence innovations and platforms growing day-by-day, the big data and cloud computing industry are faced with the challenge of geospatial big data capture, storage, analytics, visualization and reporting (dissemination). Besides the typical challenges posed by the five Vs of big data, geospatial industry continues to be trapped in the ever growing matrix of not just GIS data formats and data types but also of non-geospatial nature.

Every Cloud has a Silver Lining
Disruptive innovations and platforms that generate and or consume geospatial big data, quickly reach criticality, where there is so much of (big) data that they are either unable to handle or do not know what to do with them. In this context ETL (Extract-Transform-Load) platforms and specifically Spatial ETL platforms have been the silver lining to the dark data format and data type clouds shrouding the geospatial (big) data industry. Incompatible systems are a thing of the past with Spatial ETL platforms, providing native support for location data, including the complexity of GIS, Computer Aided Drafting (CAD), Building Information Model (BIM) and latest big data eco-systems such as Hadoop. Spatial ETL platforms such as Feature Manipulation Engine (FME) from Safe Software provides the much needed geospatial (big) data conversion-transformation-share-integration along with geospatial analytical capabilities. Such Spatial ETL platforms are already available on the cloud such as Amazon AWS.
History of Big Data traces its first explosion to 1940s; the earliest documented use of the term “information explosion”, nevertheless geospatial data has always been Big Data. Despite challenges posed by Big (Geospatial) Data, it has the potential to improve operations and make quicker and intelligent decisions. Big (Geospatial) Data when converted, transformed, shared and or integrated appropriately using cloud based Spatial ETL platforms, can help organisations gain useful insight to increase revenues, better manage their assets and improve operations geospatially, in a BIG way!

This article was originally written by this author for Insights Success Magazine October 2018