Sreedevi Kurur @Carto_graphing

Geographer | Urban Planner | Passionate about GIS and Mapping Joined October 2023

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Sreedevi Kurur @Carto_graphing

2 years ago

Concluding the #30DayMapChallenge with the map/ GIF that I made even before this year's themes were announced. Traced here are the growth of all the towns marked as urban according to the 2011 Census. Data Source: Census of India, Tools: QGIS Day 30: My Favourite!

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Sreedevi Kurur @Carto_graphing

2 years ago

I took my recent obsession with dots to new heights! I have more maps for the challenge which represent population data in some way or the other. Here is another one. Data Source: Kontur Population Dataset, Tools: QGIS, Aerialod, PS Day 29: Population for the #30DayMapChallenge

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Sreedevi Kurur @Carto_graphing

2 years ago

If there was one theme I was extremely excited for but very disappointed with the output, it would be this. A QGIS version of a Joyplot! Data: Global Human Settlement Layer Tools: QGIS Day 28: Is this a chart or a map? for the #30DayMapChallenge

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Sreedevi Kurur @Carto_graphing

2 years ago

Every year around Oct, the pollution level in Delhi skyrockets. The stubble burnings in Har and Pun are blamed for this. Mapped here: active fires in Northern India & parts of Pak during Oct 2014 - 23. Data: NASAEarthObservations, Tool: QGIS Day 27: Dots for the #30DayMapChallege

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Sreedevi Kurur @Carto_graphing

2 years ago

What is more minimal than dots? Data: Global Human Settlement Later Tools: QGIS Day 26: Minimal for #30DayMapChallenge

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Sreedevi Kurur @Carto_graphing

2 years ago

A last-minute map today! Struggled with this one, as I didn't know what data to represent. Geolocation of where Emperor Penguins have been spotted near Antarctica in 2023. Data: Global Biodiversity Information Facility, GEBCO Tools: QGIS Day 25: Antarctica for #30DayMapChallenge

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Sreedevi Kurur @Carto_graphing

2 years ago

Continuing my explorations with the GHSL data and new software, I used the Aerialod to represent the population of West Bengal in 3D, through simple colours of black and white. Data: GHSL; Tools: QGIS, Aerialod Day 24: Black and White for the #30DayMapChallenge

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Sreedevi Kurur @Carto_graphing

2 years ago

I have always been intimidated by coding and 3D, today's map attempts to tackle both. Realistic 3D render of the Barren Islands, the only active volcano in India. Tutorial: @milos_agathon Tools: RStudio Data Source: ESRI World Imagery Day 23: 3D for the #30DayMapChallenge

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Sreedevi Kurur @Carto_graphing

2 years ago

I wanted to make a map using the 'Spilhaus Projection' for Oceans for today's theme. That didn't work, so here's the backup! Bathymetry of the Arctic. Where is North, at the centre! Data Source: GEBCO, Tools: QGIS Day 22: North is not always up! for the #30DayMapChallenge

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Sreedevi Kurur @Carto_graphing

2 years ago

When GIS was taught to me, vector analysis was always emphasised than raster analysis. Raster satellite data is often only used as a base. NDVI is one of the basic forms of Raster Analysis. Data Source: Landsat 8, Tools: ArcGIS, QGIS Day 21: Raster for the #30DayMapChallenge

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Sreedevi Kurur @Carto_graphing

2 years ago

WHO recommends 9sqm of open space per person. Delhi has 185.65 sqkm of green area (estimated from the OSM). When estimated with the 2011 Population of Delhi, the per capita green space is around 11sqm. Data Source: OSM, Tools: QGIS Day 20: Outdoors for the #30DayMapChallenge

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Sreedevi Kurur @Carto_graphing

2 years ago

A map prepared in less than 5mins which shows how far you can walk in 5mins from the Kochi Metro stations. Cheated by using a layout which I had previously made. Data Source: KMRL, OpenRouteServices; Tools: QGIS Day 19: 5-minute map for the #30DayMapChallenge

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Sreedevi Kurur @Carto_graphing

2 years ago

Urban Heat Islands are becoming increasingly common in Indian cities. The Land Surface Temp gives an idea of the temperature radiated from land and is used as an indicator for the UHI effect. Data: Landsat 8 Data; Tools: ArcGIS, QGIS Day 18: Atmosphere for the #30DayMapChallenge

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Sreedevi Kurur @Carto_graphing

2 years ago

This was my 1st attempt at GeoGiffery, inspired by @tjukanov, personally, I like this one better than the one I did for Day 1. The colours show the lines and grey shows Rapid Metro. Data: OpenTransitData, Tools: QGIS and GIMP Day 17: Flow of the #30DayMapChallenge