#mappromptmonday — Public Fediverse posts

Number of gyms in London per 1,000 people for #MapPromptMonday Sports. Didn’t feel too inspired by the theme but always a good reason to dig into some new #OpenStreetMap data.

Guess there are more gyms in the center as some people use them in their lunch breaks? Numbers are notably higher in Kensington & Chelsea and Westminster.

Map made in #python using #matplotlib.

For this week's #MapPromptMonday, a couple of maps showing, at the Province level, the number of cases and deaths for #Dengue in #Peru for 2023 up to 2023-07-26, using data from DGE/MINSA.

Some provinces in the coast that have been more affected by cases, and usually they correlate with the number of deaths. Lima is an exception. A small number of provinces have not (yet) reported cases of Dengue.

#Rstats code: https://github.com/jmcastagnetto/my_map_prompt_monday/tree/main/2023-07-31_health

#map #health

For this week's #MapPromptMonday, a #map showing the natural protected areas in #Peru, with data from the Min. of the Environment (#MINAM). Used tiles from Thunderforest for the underlying map.

#RStats code: https://github.com/jmcastagnetto/my_map_prompt_monday/tree/main/2023-07-24_natural-wonders

For this week's #MapPromptMonday, with #desserts as topic. A look at how the harvest area for #cocoa beans has changed in South America: #Peru has increased that area 33x from 1961 to 2021, while other countries remain the same or lowered that area. How come I do not see 33x better #chocolate in the stores here?

#RStats code: https://github.com/jmcastagnetto/my_map_prompt_monday/tree/main/2023-07-17_desserts

#MapPromptMonday Dessert - Ice cream parlours of Italy 🍨 🇮🇹

The most common shop name is simply “Gelateria” and about 1/3 of shops include “Gelateria” as part of their name.

Data from #OpenStreetMap, made in #python + #matplotlib – full code here https://github.com/Lisa-Ho/small-data-projects#072023-gelaterias-of-italy

For this week's #MapPromptMonday, a map showing the location of #healthcare centers within the coastal #desert #ecoregion of #Peru (one of the 11 ecoregions in our country).

#RStats code at: https://github.com/jmcastagnetto/my_map_prompt_monday/tree/main/2023-07-10_deserts

For this week's #MapPromptMonday, a map of #Peru, showing the #glacier areas in the country, using the data from the #GLIMS (https://www.glims.org/) database, for the year 2021.
Tried to use a color palette based on the Peru color (#CD853F)
#RStats code: https://github.com/jmcastagnetto/my_map_prompt

For this week's #MapPromptMonday, a comparison of tree coverage loss in #SouthAmerica for 2000 and 2022, using data from the "2022 Environmental Performance Index".

#RStats code: https://github.com/jmcastagnetto/my_map_prompt_monday/tree/main/2023-06-26_plants

Trees of London for this week's #MapPromptMonday - Plants 🍃

Shows total trees maintained by Local Authorities and main type per 4sqkm. London's urban forest provides an important ecosystem and plays a major role in improving air pollution and temperature reduction. If you want to find out more, checkout the London tree report https://www.london.gov.uk/programmes-and-strategies/environment-and-climate-change/environment-publications/valuing-londons-urban-forest

Made with #python matplotlib

Code https://github.com/Lisa-Ho/small-data-projects/blob/main/2023/2306-trees-london/trees-london.ipynb

#maps #dataviz #environment

For this week's #MapPromptMonday (2023-06-19), a comparison of the min. and max. temperatures during the Summer months in #Peru (Dec., Jan., Feb.) between the [1901-1930] and [1991-2020] periods. The min. temp has increased in all regions, whereas, and the max. temp has also gone up for 21 of 25 regions.
#Rstats code at: https://github.com/jmcastagnetto/my_map_prompt_monday/tree/main/2023-06-19_solstice-seasons

For this week's #MapPromptMonday a map showing the location of #MachuPicchu in #Peru, an its namesake Research Base in #Antarctica, using a south polar projection

#RStats code at: https://github.com/jmcastagnetto/my_map_prompt_monday/tree/main/2023-06-12_artic_or_antarctic

For this week's #MapPromptMonday, about #Safety, here is a map showing the annual number of deaths by vehicle collisions per million in 2020, for each region in #Peru.
#Rstats code in: https://github.com/jmcastagnetto/my_map_prompt_monday/tree/main/2023-06-05_safety

For this week's #MapPromptMonday, about #ClimateChange #vulnerability, here is a small multiple of maps showing the change in annual precipitation by region over time, comparing with the 1901-1930 period.
#Rstats code at: https://github.com/jmcastagnetto/my_map_prompt_monday/tree/main/2023-05-29_climate-change-vulnerability

This week for #MapPromptMonday, trying to make a "book cover" of an #imaginary #book about #Peru and its troubles. Map made with #Rstats, and some labels and tweaks with #Gimp and #ImageMagick. Using the "Peru" color as a basis.
#RStats code: https://github.com/jmcastagnetto/my_map_prompt_monday/tree/main/2023-05-23_book-cover

A very very late #MapPromptMonday Week 8 entry! The theme was grayscale, and I struggled to come up with a different way to show this data outside of a typical choropleth. Once grad school got underway, I had to set it to the side.

The joy plot shows churches per 100k population.

Tools: ArcGIS Pro, Photoshop, Affinity Designer

#gis #gischat #cartography #mapping

For this week's #MapPromptMonday (2023-04-10), a #topographic #map of the countries where the #Andes go through in #SouthAmerica, using #Rstats and elevation data from #NaturalEarth (https://www.naturalearthdata.com/)

#Rstats code: https://github.com/jmcastagnetto/my_map_prompt_monday/tree/main/2023-04-10_topography

For this week's #MapPromptMonday, a streemap of #Kumamoto, #Japan. A place I'd like to visit sometime, among other things to see the #KumamotoCastle

#Rstats code at: https://github.com/jmcastagnetto/my_map_prompt_monday/tree/main/2023-04-03_bucket-list

For this week's #MapPromptMonday, I used data from OEFA (#Peru). Maps showing affected areas, and sanctions received by the top 3 sanctioned #oil companies in Peru: "Savia Peru", "PlusPetrol", and "Petroleos del Peru (#PetroPeru)"
#Rstats: https://bit.ly/env_sanctions_peru

For this week's #MapPromptMonday, about environmental disasters, I have used data from #OEFA (oversees and sanctions #environmental accidents/disasters in #Peru)
Here are three maps showing the affected areas, and number of sanctions received by the top 3 sanctioned #oil companies in Peru: "Savia Peru", "PlusPetrol", and "Petroleos del Peru (#PetroPeru)"

#Rstats code: https://github.com/jmcastagnetto/my_map_prompt_monday/tree/main/2023-03-27_recent-enviromental-disaster

For this week's #MapPromptMonday, a #streetmap of #Callao (#Peru), inspired by the post: "Streetmaps" (https://ggplot2tutor.com/streetmaps/streetmaps/).

#Rstats code: https://github.com/jmcastagnetto/my_map_prompt_monday/tree/main/2023-03-20_inspired-by

For this week's #MapPromptMonday, a #streetmap of #Callao (#Peru), inspired by the post: "Streetmaps" (https://ggplot2tutor.com/streetmaps/streetmaps/).

#Rstats code: https://github.com/jmcastagnetto/my_map_prompt_monday/tree/main/2023-03-20_inspired-by

For this week's #MapPromptMonday, a #streetmap of #Callao (#Peru), inspired by the post: "Streetmaps" (https://ggplot2tutor.com/streetmaps/streetmaps/).

#Rstats code: https://github.com/jmcastagnetto/my_map_prompt_monday/tree/main/2023-03-20_inspired-by

For this week's #MapPromptMonday, a #streetmap of #Callao (#Peru), inspired by the post: "Streetmaps" (https://ggplot2tutor.com/streetmaps/streetmaps/).

#Rstats code: https://github.com/jmcastagnetto/my_map_prompt_monday/tree/main/2023-03-20_inspired-by

For this week's #MapPromptMonday, a #streetmap of #Callao (#Peru), inspired by the post: "Streetmaps" (https://ggplot2tutor.com/streetmaps/streetmaps/).

#Rstats code: https://github.com/jmcastagnetto/my_map_prompt_monday/tree/main/2023-03-20_inspired-by

For this week's #MapPromptMonday, a #streetmap of #Callao (#Peru), inspired by the post: "Streetmaps" (https://ggplot2tutor.com/streetmaps/streetmaps/).

#Rstats code: https://github.com/jmcastagnetto/my_map_prompt_monday/tree/main/2023-03-20_inspired-by

For this week's #MapPromptMonday, a #streetmap of #Callao (#Peru), inspired by the post: "Streetmaps" (https://ggplot2tutor.com/streetmaps/streetmaps/).

#Rstats code: https://github.com/jmcastagnetto/my_map_prompt_monday/tree/main/2023-03-20_inspired-by

For this week's #MapPromptMonday, a #streetmap of #Callao (#Peru), inspired by the post: "Streetmaps" (https://ggplot2tutor.com/streetmaps/streetmaps/).

#Rstats code: https://github.com/jmcastagnetto/my_map_prompt_monday/tree/main/2023-03-20_inspired-by

For this week's #MapPromptMonday, a #streetmap of #Callao (#Peru), inspired by the post: "Streetmaps" (https://ggplot2tutor.com/streetmaps/streetmaps/).

#Rstats code: https://github.com/jmcastagnetto/my_map_prompt_monday/tree/main/2023-03-20_inspired-by

For this week's #MapPromptMonday , a bivariate map showing the relation between the #HDI (at the province level), and the "government density" that measures the presence of government in a given region.

Highest HDI and gov density are mostly concentrated on the coast of #Peru

#Rstats code at: https://github.com/jmcastagnetto/my_map_prompt_monday/tree/main/2023-02-13_bivariate-maps

For the week of 2023-01-30, the #MapPromptMonday is about making #FlowMaps, so I took one of the books I love when I was a kid: "Around the world in 80 days" by #JulesVerne, and made a map of the route taken by the protagonists, using data from #WikiVoyage.

#Rstats code at: https://github.com/jmcastagnetto/my_map_prompt_monday/tree/main/2023-01-30_flow-map

This week's #MapPromptMonday is about making #colorblind friendly maps (which I like, having a bit of #deuteranopia). Here is a #map of peruvians abroad, using the #OpenData from RENIEC, and having fun with a Mollweide projection, and using the "Peru" color for my country 😃

#Rstats code at: https://github.com/jmcastagnetto/my_map_prompt_monday/tree/main/2023-01-16_colorblind-friendly

#Peru

For the week of 2023-01-09, a #MapPromptMonday map, showing a simple heat map of the locations of health establishments (hospitals, etc.), in #Loreto, #Peru. As expected the distribution is clustered around the biggest cities in the region.

Code in #Rstats at: https://github.com/jmcastagnetto/my_map_prompt_monday/tree/main/2023-01-09_heatmap

Using #OpenData from #MINSA (Peru)