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77 results for “bnhrdotxyz”

  1. MapAm💜re @[email protected] ·

    Thanks to @BNHRdotXYZ for leading last nights' #Wemap session on @qgis.

    It was a fun getting your feet wet on #GIS, and was an excellent overview of what's possible with #QGIS and #OpenData, like #OpenStreetMap

    The recording is online: youtu.be/295wyYGTODw
    ---
    RT @MapAmorePH
    Join a beginner-friendly #WeMap session on #QGIS, #OpenStreetMap and #OpenHazardsPH led by @benhur07b and #FOSS4GPH and #OSMph folks.

    No previous expe…
    twitter.com/MapAmorePH/status/

    #osmph #foss4gph #openhazardsph #openstreetmap #opendata #qgis
  2. MapAm💜re @[email protected] ·

    Hindi lang #LibrengAdobo may malasakit pa! Hone your #QGIS from the awesome @BNHRdotXYZ
    ---
    RT @BNHRdotXYZ
    All proceeds from Bite-sized QGIS will be donated to relief operations helping those affected by the recent typhoons.

    You can sign-up at: bnhr.xyz/services/training/bit for more information.

    #QGIS #FOSS4G #PassionForSharing #RollyPH #UlyssesPH #ReliefPH
    twitter.com/BNHRdotXYZ/status/

    #reliefph #ulyssesph #rollyph #passionforsharing #foss4g #qgis
  3. MapAm💜re @[email protected] ·

    Hindi lang #LibrengAdobo may malasakit pa! Hone your #QGIS from the awesome @BNHRdotXYZ
    ---
    RT @BNHRdotXYZ
    All proceeds from Bite-sized QGIS will be donated to relief operations helping those affected by the recent typhoons.

    You can sign-up at: bnhr.xyz/services/training/bit for more information.

    #QGIS #FOSS4G #PassionForSharing #RollyPH #UlyssesPH #ReliefPH
    twitter.com/BNHRdotXYZ/status/

    #reliefph #ulyssesph #rollyph #passionforsharing #foss4g #qgis
  4. MapAm💜re @[email protected] ·

    Have you seen this functional and fast UI for #covid19PH map, stompcovidph.com ?

    Excellent work with #opendata by @[email protected] . Thank you for your efforts!

    #opendata #covid19ph
  5. Ben Hur @[email protected] ·

    A late #introduction post.

    Hi! I'm Ben. I usually work at the intersections of the #openness, #data, #geospatial, and #technology fields. I care and share about #opensource #freesoftware #foss #linux #foss4g #gis #gischat #qgis #openstreetmap #opentech #opendata #dataliteracy and other related stuff here and at @bnhrdotxyz (feel free to follow me there too!)

    On this account, I also talk a lot about #mechanicalkeyboards, #fantasynovels, #videogames, #dota2, #basketball, and other hobbies. 😂

    #introduction #openness #data #geospatial #technology #opensource
  6. Ben Hur @[email protected] ·

    To my friends who are Microsoft Windows or Office users, now would be a good time to change your computer's settings.

    Me? I'm more of a #libreoffice and #onlyoffice guy. 😂

    #follina #zeroday #msoffice #microsoft #vulnerability

    twitter.com/BNHRdotXYZ/status/

    #libreoffice #onlyoffice #follina #zeroday #msoffice #microsoft
  7. BNHR.XYZ :tux: :qgis: @bnhrdotxyz ·

    DATA
    > Relative Wealth Index (data.humdata.org/dataset/relat)

    PROCESS
    1. Load the RWI point layer for the Philippines.
    2. Style the layer as square markers—size: 2400 meters at scale; color: ramp of your choice.

    #30daymapchallenge #30daymapchallenge2024 #day8 #hdx #madewithqgis #qgis
  8. BNHR.XYZ :tux: :qgis: @[email protected] ·

    DATA
    > Relative Wealth Index (data.humdata.org/dataset/relat)

    PROCESS
    1. Load the RWI point layer for the Philippines.
    2. Style the layer as square markers—size: 2400 meters at scale; color: ramp of your choice.

    #30DayMapChallenge #30DayMapChallenge2024 #Day8 #HDX #MadeWithQGIS #QGIS #FOSS4G #GISChat #Wealth #Poverty #RelativeWealthIndex #Meta

    #30daymapchallenge #30daymapchallenge2024 #day8 #hdx #madewithqgis #qgis
  9. BNHR.XYZ :tux: :qgis: @[email protected] ·

    DATA
    > Relative Wealth Index (data.humdata.org/dataset/relat)

    PROCESS
    1. Load the RWI point layer for the Philippines.
    2. Style the layer as square markers—size: 2400 meters at scale; color: ramp of your choice.

    #30DayMapChallenge #30DayMapChallenge2024 #Day8 #HDX #MadeWithQGIS #QGIS #FOSS4G #GISChat #Wealth #Poverty #RelativeWealthIndex #Meta

    #30daymapchallenge #30daymapchallenge2024 #day8 #hdx #madewithqgis #qgis
  10. BNHR.XYZ :tux: :qgis: @[email protected] ·

    DATA
    > Relative Wealth Index (data.humdata.org/dataset/relat)

    PROCESS
    1. Load the RWI point layer for the Philippines.
    2. Style the layer as square markers—size: 2400 meters at scale; color: ramp of your choice.

    #30DayMapChallenge #30DayMapChallenge2024 #Day8 #HDX #MadeWithQGIS #QGIS #FOSS4G #GISChat #Wealth #Poverty #RelativeWealthIndex #Meta

    #meta #relativewealthindex #poverty #wealth #gischat #foss4g
  11. BNHR.XYZ :tux: :qgis: @[email protected] ·

    DATA
    > Relative Wealth Index (data.humdata.org/dataset/relat)

    PROCESS
    1. Load the RWI point layer for the Philippines.
    2. Style the layer as square markers—size: 2400 meters at scale; color: ramp of your choice.

    #30DayMapChallenge #30DayMapChallenge2024 #Day8 #HDX #MadeWithQGIS #QGIS #FOSS4G #GISChat #Wealth #Poverty #RelativeWealthIndex #Meta

    #30daymapchallenge #30daymapchallenge2024 #day8 #hdx #madewithqgis #qgis
  12. BNHR.XYZ :tux: :qgis: @bnhrdotxyz ·

    30 DAY MAP CHALLENGE 2024 | DAY 8 - DATA:HDX

    Relative Wealth Index

    The Relative Wealth Index (RWI) from Meta are microestimates showing the relative wealth and poverty of different areas in a country.

    IMPORTANT: As with any global-scale, machine-learning product, you should first validate the usefulness and applicability to your local context.

    #30daymapchallenge #30daymapchallenge2024 #day8 #hdx #madewithqgis #qgis
  13. BNHR.XYZ :tux: :qgis: @[email protected] ·

    30 DAY MAP CHALLENGE 2024 | DAY 8 - DATA:HDX

    Relative Wealth Index

    The Relative Wealth Index (RWI) from Meta are microestimates showing the relative wealth and poverty of different areas in a country.

    IMPORTANT: As with any global-scale, machine-learning product, you should first validate the usefulness and applicability to your local context.

    #30DayMapChallenge #30DayMapChallenge2024 #Day8 #HDX #MadeWithQGIS #QGIS #FOSS4G #GISChat #Wealth #Poverty #RelativeWealthIndex #Meta

    #30daymapchallenge #30daymapchallenge2024 #day8 #hdx #madewithqgis #qgis
  14. BNHR.XYZ :tux: :qgis: @[email protected] ·

    30 DAY MAP CHALLENGE 2024 | DAY 8 - DATA:HDX

    Relative Wealth Index

    The Relative Wealth Index (RWI) from Meta are microestimates showing the relative wealth and poverty of different areas in a country.

    IMPORTANT: As with any global-scale, machine-learning product, you should first validate the usefulness and applicability to your local context.

    #30DayMapChallenge #30DayMapChallenge2024 #Day8 #HDX #MadeWithQGIS #QGIS #FOSS4G #GISChat #Wealth #Poverty #RelativeWealthIndex #Meta

    #30daymapchallenge #30daymapchallenge2024 #day8 #hdx #madewithqgis #qgis
  15. BNHR.XYZ :tux: :qgis: @[email protected] ·

    30 DAY MAP CHALLENGE 2024 | DAY 8 - DATA:HDX

    Relative Wealth Index

    The Relative Wealth Index (RWI) from Meta are microestimates showing the relative wealth and poverty of different areas in a country.

    IMPORTANT: As with any global-scale, machine-learning product, you should first validate the usefulness and applicability to your local context.

    #30DayMapChallenge #30DayMapChallenge2024 #Day8 #HDX #MadeWithQGIS #QGIS #FOSS4G #GISChat #Wealth #Poverty #RelativeWealthIndex #Meta

    #meta #relativewealthindex #poverty #wealth #gischat #foss4g
  16. BNHR.XYZ :tux: :qgis: @[email protected] ·

    30 DAY MAP CHALLENGE 2024 | DAY 8 - DATA:HDX

    Relative Wealth Index

    The Relative Wealth Index (RWI) from Meta are microestimates showing the relative wealth and poverty of different areas in a country.

    IMPORTANT: As with any global-scale, machine-learning product, you should first validate the usefulness and applicability to your local context.

    #30DayMapChallenge #30DayMapChallenge2024 #Day8 #HDX #MadeWithQGIS #QGIS #FOSS4G #GISChat #Wealth #Poverty #RelativeWealthIndex #Meta

    #30daymapchallenge #30daymapchallenge2024 #day8 #hdx #madewithqgis #qgis
  17. BNHR.XYZ :tux: :qgis: @bnhrdotxyz ·

    30 DAY MAP CHALLENGE 2024 | DAY 7 - VINTAGE

    A (very maximalist) map of the University of the Philippines Diliman in vintage 16th/17th century European cartographic style (complete with some out-of-place sea monsters haha).

    DATA
    > UPD data

    PROCESS
    1. There are several ways to do this using QGIS, GIMP, or a combination of both.
    2. Fantasy map brushes/pngs from @kmalexander (kmalexander.com/free-stuff/fan)

    #30daymapchallenge #30daymapchallenge2024 #day7 #vintage #qgis #foss4g
  18. BNHR.XYZ :tux: :qgis: @bnhrdotxyz ·

    30 DAY MAP CHALLENGE 2024 | DAY 6 - RASTER
    Albay at different resolutions (100m, 500m, 1000m, 5000m)

    DATA
    > Any Digital Elevation Model (DEM)

    PROCESS
    1. Resample the DEM into 100, 500, 1000, 5000m meter pixel sizes (e.g. using Warp (Reproject) algorithm)
    2. Create polygon boundaries for each resampled DEM using Polygonize (raster to vector) and Dissolve.
    3. Style #2 accordingly

    ...

    #30daymapchallenge #30daymapchallenge2024 #day6 #raster #madewithqgis #qgis
  19. BNHR.XYZ :tux: :qgis: @bnhrdotxyz ·

    ...

    DATA
    > TomTom 2023 Traffic Index (tomtom.com/traffic-index/ranki)
    > DPWH RBI (for the roads) | You can also use OpenStreetMap

    PROCESS
    1. Style the main EDSA road differently from the other roads.
    2. Add information in the Print Layout.
    3. Utilize the Print Layout's ability to render text as HTML to style the texts.

    ...


    #30daymapchallenge #30daymapchallenge2024 #day5 #journey #madewithqgis #qgis
  20. BNHR.XYZ :tux: :qgis: @bnhrdotxyz ·

    ...

    But maybe we can start by shifting away from car-centric designs, investing in safe and efficient public transport, creating spaces for walking and cycling, and putting people at the heart of urban planning.

    ...


    #30daymapchallenge #30daymapchallenge2024 #day5 #journey #madewithqgis #qgis
  21. BNHR.XYZ :tux: :qgis: @bnhrdotxyz ·

    ...

    Every person on the road lost an average of 117 hours (~5 days) waiting in traffic [2] during rush hour over the course of the year [3].

    Traffic is a wicked problem—so complex and intertwined that finding a single, definitive solution is virtually impossible.

    ...


    #30daymapchallenge #30daymapchallenge2024 #day5 #journey #madewithqgis #qgis
  22. BNHR.XYZ :tux: :qgis: @bnhrdotxyz ·

    30 DAY MAP CHALLENGE 2024 | DAY 5 - JOURNEY

    BYAHENG MAYNILA (loosely translated: Manila Trip/Journey)

    In TomTom's 2023 Traffic Index, the Manila metro area [1] ranked the worst among 387 cities with an average travel time of 25 mins 30 secs per 10 kilometers.

    ...


    #30daymapchallenge #30daymapchallenge2024 #day5 #journey #madewithqgis #qgis
  23. BNHR.XYZ :tux: :qgis: @bnhrdotxyz ·

    NOTE
    1. The flood hazard data has invalid geometries/features. You can resolve this by fixing the geometries (takes a long time) or simply disabling the Invalid features filtering in QGIS processing settings.
    2. Some areas have no flood hazard features. These are marked as NO DATA in the maps.

    #30daymapchallenge #30daymapchallenge2024 #day4 #hexagons #madewithqgis #qgis
  24. BNHR.XYZ :tux: :qgis: @bnhrdotxyz ·

    ...
    3. Generate centroids from the output of #2 (either using the Centroids algorithm or Geometry generators).
    4. To speed up and automate the process, I created a model that runs steps 1-3 above.
    5. Style the output of 3 using: marker = hexagon, size = depends on population, color = depends on hazard level (Var). Utilize data-defined overrides/Assistant.

    #30daymapchallenge #30daymapchallenge2024 #day4 #hexagons #madewithqgis #qgis
  25. BNHR.XYZ :tux: :qgis: @bnhrdotxyz ·

    PROCESS
    1. Use the "Sort" algorithm to create an ordered version of the flood hazard layer such that the features with high hazard level (3) will always be the first feature that will be matched in #2 below.
    2. Run a "Join attributes by Location" between the population hex grid layer and the sorted/ordered flood hazard layer (output of #1).
    ...

    #30daymapchallenge #30daymapchallenge2024 #day4 #hexagons #madewithqgis #qgis
  26. BNHR.XYZ :tux: :qgis: @bnhrdotxyz ·

    30 DAY MAP CHALLENGE 2024 | DAY 4 - HEXAGONS

    Population ⬡ Flood Hazard
    - larger hexagon = more people in the area
    - redder color = higher hazard level

    DATA
    > Population density for 400m H3 Hexagons [Kontur] - data.humdata.org/dataset/kontu
    > Flood hazard (100-year rain return) [UPRI/Project NOAH] - drive.google.com/drive/folders

    #30daymapchallenge #30daymapchallenge2024 #day4 #hexagons #madewithqgis #qgis
  27. BNHR.XYZ :tux: :qgis: @bnhrdotxyz ·

    30 DAY MAP CHALLENGE 2024 | DAY 3 - POLYGONS

    Shapes of (K)yøu(si)
    of triangles, circles, and ovals

    DATA
    > Digitized from OpenStreetMap (copyright OSM contributors)

    PROCESS
    > Duplicate the digitized layer.
    > Apply a hand-drawn smudgy-pen outline style and a pencil fill with categorized symbology.
    > Styles are from the hand-drawn styles by Andy Woodruff (facebook.com/bnhr.xyz/posts/pf)

    #30daymapchallenge #30daymapchallenge2024 #day3 #polygons #madewithqgis #qgis
  28. BNHR.XYZ :tux: :qgis: @bnhrdotxyz ·

    30 DAY MAP CHALLENGE 2024 | DAY 2 - LINES

    a thousand cuts.
    Typhoon tracks from 1884-2024

    DATA
    > GADM country-level data (adm0)
    > International Best Track Archive for Climate Stewardship (IBTrACS)

    PROCESS
    > Add spatial index to the 2 layers.
    > Clip the IBTrACS layer with the GADM layer for the PHL.
    > Style the two layers accordingly with
    the PHL tracks slightly thicker.

    #30daymapchallenge #30daymapchallenge2024 #day2 #lines #madewithqgis #qgis
  29. BNHR.XYZ :tux: :qgis: @bnhrdotxyz ·

    30 DAY MAP CHALLENGE 2024 | DAY 1 - POINTS

    The Philippine archipelago mapped using 10^n points with each point being 1000 x 2^(6-n) meters in diameter.

    DATA
    > GADM country-level data (adm0)

    PROCESS
    > Use the "Random points inside polygons" algorithm in QGIS to generate layers with 10^n points
    > Style accordingly
    > Add the 6 layers into a single Print Layout

    #30daymapchallenge #30daymapchallenge2024 #day1 #points #madewithqgis #qgis
  30. BNHR.XYZ :tux: :qgis: @bnhrdotxyz ·

    First 2024 meetup in the books! Maraming salamat sa mga dumalo at nakibahagi!

    We will (hopefully) be doing this every 3rd/4th Thursday of the month for the rest of the year so we hope to meet more FOSS4G enthusiasts at future events!

    #foss4gph #foss4g #foss #opensource #qgis #philippines
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