Rbanism
@rbanism.bsky.social
TUDelft BK-Urbanism community of practice that aims to empower students, researchers, and practitioners to use open-source software and open science practices to answer urban questions effectively and with confidence | #rstats #urbanism | rbanism.org
Process
To create this map, I have downloaded the data of blue whale sightings around the globe 2021 and represented it in to a simple projection of the globe.
To create this map, I have downloaded the data of blue whale sightings around the globe 2021 and represented it in to a simple projection of the globe.
November 11, 2025 at 4:06 PM
Process
To create this map, I have downloaded the data of blue whale sightings around the globe 2021 and represented it in to a simple projection of the globe.
To create this map, I have downloaded the data of blue whale sightings around the globe 2021 and represented it in to a simple projection of the globe.
Content
This maps shows the places where blue whales have been sighted around the world. To properly show the distribution of the data, the map is split in two orthographic projections of the glob. Showing first the north hemisphere, or top view, and then the south hemisphere, or bottom view.
This maps shows the places where blue whales have been sighted around the world. To properly show the distribution of the data, the map is split in two orthographic projections of the glob. Showing first the north hemisphere, or top view, and then the south hemisphere, or bottom view.
November 11, 2025 at 4:06 PM
Content
This maps shows the places where blue whales have been sighted around the world. To properly show the distribution of the data, the map is split in two orthographic projections of the glob. Showing first the north hemisphere, or top view, and then the south hemisphere, or bottom view.
This maps shows the places where blue whales have been sighted around the world. To properly show the distribution of the data, the map is split in two orthographic projections of the glob. Showing first the north hemisphere, or top view, and then the south hemisphere, or bottom view.
References
Toddler toy box—unfortunately the data cannot be shared, so the output is not reproducible.
Toddler toy box—unfortunately the data cannot be shared, so the output is not reproducible.
November 9, 2025 at 3:48 PM
References
Toddler toy box—unfortunately the data cannot be shared, so the output is not reproducible.
Toddler toy box—unfortunately the data cannot be shared, so the output is not reproducible.
Process
Having to find physical objects that meaningfully represent elements of both the plot and the code was a big challenge. Finding the number "1" to index the data was by far the most difficult part, but I am proud of the solution I found.
Having to find physical objects that meaningfully represent elements of both the plot and the code was a big challenge. Finding the number "1" to index the data was by far the most difficult part, but I am proud of the solution I found.
November 9, 2025 at 3:48 PM
Process
Having to find physical objects that meaningfully represent elements of both the plot and the code was a big challenge. Finding the number "1" to index the data was by far the most difficult part, but I am proud of the solution I found.
Having to find physical objects that meaningfully represent elements of both the plot and the code was a big challenge. Finding the number "1" to index the data was by far the most difficult part, but I am proud of the solution I found.
Content
This is a completely useless map (arguably not even a map) that demonstrates how simple a plot using sf and ggplot2 is. All "data", "code" and "output" come from my toddler’s toy stash—which at this point gets almost as much use as my R console.
This is a completely useless map (arguably not even a map) that demonstrates how simple a plot using sf and ggplot2 is. All "data", "code" and "output" come from my toddler’s toy stash—which at this point gets almost as much use as my R console.
November 9, 2025 at 3:48 PM
Content
This is a completely useless map (arguably not even a map) that demonstrates how simple a plot using sf and ggplot2 is. All "data", "code" and "output" come from my toddler’s toy stash—which at this point gets almost as much use as my R console.
This is a completely useless map (arguably not even a map) that demonstrates how simple a plot using sf and ggplot2 is. All "data", "code" and "output" come from my toddler’s toy stash—which at this point gets almost as much use as my R console.
References
EEA 1km grid data: ec.europa.eu/eurostat/web...
JPI Urban Europe project InPUT data: projectinput.org
EEA 1km grid data: ec.europa.eu/eurostat/web...
JPI Urban Europe project InPUT data: projectinput.org
Grids - GISCO - Eurostat
ec.europa.eu
November 8, 2025 at 8:12 PM
References
EEA 1km grid data: ec.europa.eu/eurostat/web...
JPI Urban Europe project InPUT data: projectinput.org
EEA 1km grid data: ec.europa.eu/eurostat/web...
JPI Urban Europe project InPUT data: projectinput.org
Process (2/2)
While this is an effective way to summarise the diversity of amenities spatially, producing this map inspired us to develop non-spatial visualisations that can provide more insight into the multiple dimensions of the peri-urban conditions investigated in the InPUT project.
While this is an effective way to summarise the diversity of amenities spatially, producing this map inspired us to develop non-spatial visualisations that can provide more insight into the multiple dimensions of the peri-urban conditions investigated in the InPUT project.
November 8, 2025 at 8:12 PM
Process (2/2)
While this is an effective way to summarise the diversity of amenities spatially, producing this map inspired us to develop non-spatial visualisations that can provide more insight into the multiple dimensions of the peri-urban conditions investigated in the InPUT project.
While this is an effective way to summarise the diversity of amenities spatially, producing this map inspired us to develop non-spatial visualisations that can provide more insight into the multiple dimensions of the peri-urban conditions investigated in the InPUT project.
Process (1/2)
The main challenge of this map was choosing a simple way of visualising the intensity of diversity of amenities. What started as a complex plan in which each grid cell would display a categorised value of each amenity, ended up as the simple count described above.
The main challenge of this map was choosing a simple way of visualising the intensity of diversity of amenities. What started as a complex plan in which each grid cell would display a categorised value of each amenity, ended up as the simple count described above.
November 8, 2025 at 8:12 PM
Process (1/2)
The main challenge of this map was choosing a simple way of visualising the intensity of diversity of amenities. What started as a complex plan in which each grid cell would display a categorised value of each amenity, ended up as the simple count described above.
The main challenge of this map was choosing a simple way of visualising the intensity of diversity of amenities. What started as a complex plan in which each grid cell would display a categorised value of each amenity, ended up as the simple count described above.
Content (2/2)
The resulting values range from 0 (none, absence of dominant amenities) to 9 (all, maximum diversity). The size of the squares is given by that count.
The resulting values range from 0 (none, absence of dominant amenities) to 9 (all, maximum diversity). The size of the squares is given by that count.
November 8, 2025 at 8:12 PM
Content (2/2)
The resulting values range from 0 (none, absence of dominant amenities) to 9 (all, maximum diversity). The size of the squares is given by that count.
The resulting values range from 0 (none, absence of dominant amenities) to 9 (all, maximum diversity). The size of the squares is given by that count.
Content (1/2)
This map is our attempt to summarise the peri-urban provision of the range of amenities considered providing for essential needs. For each cell we count the number of dominant amenities from 9 categories to characterise the diversity of amenities in those places.
This map is our attempt to summarise the peri-urban provision of the range of amenities considered providing for essential needs. For each cell we count the number of dominant amenities from 9 categories to characterise the diversity of amenities in those places.
November 8, 2025 at 8:12 PM
Content (1/2)
This map is our attempt to summarise the peri-urban provision of the range of amenities considered providing for essential needs. For each cell we count the number of dominant amenities from 9 categories to characterise the diversity of amenities in those places.
This map is our attempt to summarise the peri-urban provision of the range of amenities considered providing for essential needs. For each cell we count the number of dominant amenities from 9 categories to characterise the diversity of amenities in those places.
References
National Public Transport Access Nodes (NaPTAN): beta-naptan.dft.gov.uk
Office of National Statistic : www.data.gov.uk/dataset/7b2f...
English Indice of Deprivation 2025: www.gov.uk/government/s...
National Public Transport Access Nodes (NaPTAN): beta-naptan.dft.gov.uk
Office of National Statistic : www.data.gov.uk/dataset/7b2f...
English Indice of Deprivation 2025: www.gov.uk/government/s...
NaPTAN and NPTG - NaPTAN - DfT
beta-naptan.dft.gov.uk
November 7, 2025 at 11:42 AM
References
National Public Transport Access Nodes (NaPTAN): beta-naptan.dft.gov.uk
Office of National Statistic : www.data.gov.uk/dataset/7b2f...
English Indice of Deprivation 2025: www.gov.uk/government/s...
National Public Transport Access Nodes (NaPTAN): beta-naptan.dft.gov.uk
Office of National Statistic : www.data.gov.uk/dataset/7b2f...
English Indice of Deprivation 2025: www.gov.uk/government/s...
Process (3/3)
I also learned how to combine several objects in a single plot, including the logo which was surprisingly challenging.
I also learned how to combine several objects in a single plot, including the logo which was surprisingly challenging.
November 7, 2025 at 11:42 AM
Process (3/3)
I also learned how to combine several objects in a single plot, including the logo which was surprisingly challenging.
I also learned how to combine several objects in a single plot, including the logo which was surprisingly challenging.
Process (2/3)
I created two boxes to zoom in two contrasting English cities, placing them on the side of the newly obtained National Map. I got to play with new functions to make the map as compelling in its representation, showing access to transport as lights points.
I created two boxes to zoom in two contrasting English cities, placing them on the side of the newly obtained National Map. I got to play with new functions to make the map as compelling in its representation, showing access to transport as lights points.
November 7, 2025 at 11:42 AM
Process (2/3)
I created two boxes to zoom in two contrasting English cities, placing them on the side of the newly obtained National Map. I got to play with new functions to make the map as compelling in its representation, showing access to transport as lights points.
I created two boxes to zoom in two contrasting English cities, placing them on the side of the newly obtained National Map. I got to play with new functions to make the map as compelling in its representation, showing access to transport as lights points.
Process (1/3)
To create this map, I leverage the newly released dataset of IMD (2025) representing the level of deprivation in England, and intersect it with ONS boundaries data, parsed only for England data. Similarly, I filtered the NaPTAN dataset to only show major train stations.
To create this map, I leverage the newly released dataset of IMD (2025) representing the level of deprivation in England, and intersect it with ONS boundaries data, parsed only for England data. Similarly, I filtered the NaPTAN dataset to only show major train stations.
November 7, 2025 at 11:42 AM
Process (1/3)
To create this map, I leverage the newly released dataset of IMD (2025) representing the level of deprivation in England, and intersect it with ONS boundaries data, parsed only for England data. Similarly, I filtered the NaPTAN dataset to only show major train stations.
To create this map, I leverage the newly released dataset of IMD (2025) representing the level of deprivation in England, and intersect it with ONS boundaries data, parsed only for England data. Similarly, I filtered the NaPTAN dataset to only show major train stations.
Content (4/4)
On the other hand, London is a mosaic of levels of affluence, and has a web of access to mobility. This map aims to highlights the correlation between deprivation and national mobility in a compelling way.
On the other hand, London is a mosaic of levels of affluence, and has a web of access to mobility. This map aims to highlights the correlation between deprivation and national mobility in a compelling way.
November 7, 2025 at 11:42 AM
Content (4/4)
On the other hand, London is a mosaic of levels of affluence, and has a web of access to mobility. This map aims to highlights the correlation between deprivation and national mobility in a compelling way.
On the other hand, London is a mosaic of levels of affluence, and has a web of access to mobility. This map aims to highlights the correlation between deprivation and national mobility in a compelling way.
Content (3/4)
On the one hand, Leicester, which was once a industrial revolution powerhouse, appears as mostly economically deprived and has a single point of access to the railway network.
On the one hand, Leicester, which was once a industrial revolution powerhouse, appears as mostly economically deprived and has a single point of access to the railway network.
November 7, 2025 at 11:42 AM
Content (3/4)
On the one hand, Leicester, which was once a industrial revolution powerhouse, appears as mostly economically deprived and has a single point of access to the railway network.
On the one hand, Leicester, which was once a industrial revolution powerhouse, appears as mostly economically deprived and has a single point of access to the railway network.
Content (2/4)
... and the areas that do not. It also puts into light the erosion in the railway network left decades after the Beeching Cuts, particularly prevalent in the Midlands. To illustrate further these inequalities, I zoomed in on Leicester and London.
... and the areas that do not. It also puts into light the erosion in the railway network left decades after the Beeching Cuts, particularly prevalent in the Midlands. To illustrate further these inequalities, I zoomed in on Leicester and London.
November 7, 2025 at 11:42 AM
Content (2/4)
... and the areas that do not. It also puts into light the erosion in the railway network left decades after the Beeching Cuts, particularly prevalent in the Midlands. To illustrate further these inequalities, I zoomed in on Leicester and London.
... and the areas that do not. It also puts into light the erosion in the railway network left decades after the Beeching Cuts, particularly prevalent in the Midlands. To illustrate further these inequalities, I zoomed in on Leicester and London.