Joseph Ricafort
@jricafort.bsky.social
Digital Creative | I share curiosities to fellow creatives and explorers to inspire and further create. josephricafort.com
#CebuEarthquake #Aftershocks #PHIVOLCS #DataViz #GIS #DisasterPreparedness
Tools: Visualization created in QGIS, annotations in After Effects, Python scripting assisted by ChatGPT
Tools: Visualization created in QGIS, annotations in After Effects, Python scripting assisted by ChatGPT
October 3, 2025 at 4:14 AM
#CebuEarthquake #Aftershocks #PHIVOLCS #DataViz #GIS #DisasterPreparedness
Tools: Visualization created in QGIS, annotations in After Effects, Python scripting assisted by ChatGPT
Tools: Visualization created in QGIS, annotations in After Effects, Python scripting assisted by ChatGPT
We see where the aftershocks were happening, how strong they were, and how the sequence evolved.
Data source: PHIVOLCS Earthquake Information (Sept 30–Oct 2)
Note: This is an explanatory visualization, not a real-time alert. For safety guidance, always follow PHIVOLCS and your local authorities.
Data source: PHIVOLCS Earthquake Information (Sept 30–Oct 2)
Note: This is an explanatory visualization, not a real-time alert. For safety guidance, always follow PHIVOLCS and your local authorities.
October 3, 2025 at 4:14 AM
We see where the aftershocks were happening, how strong they were, and how the sequence evolved.
Data source: PHIVOLCS Earthquake Information (Sept 30–Oct 2)
Note: This is an explanatory visualization, not a real-time alert. For safety guidance, always follow PHIVOLCS and your local authorities.
Data source: PHIVOLCS Earthquake Information (Sept 30–Oct 2)
Note: This is an explanatory visualization, not a real-time alert. For safety guidance, always follow PHIVOLCS and your local authorities.
The first frames highlight the main shock, followed by notable M4.8 and M4.5 aftershocks clustered offshore. Over time, the animation shows how activity concentrated along the same fault.
Why visualize this? Earthquakes can feel chaotic in the moment. By mapping the data, patterns become clearer.
Why visualize this? Earthquakes can feel chaotic in the moment. By mapping the data, patterns become clearer.
October 3, 2025 at 4:14 AM
The first frames highlight the main shock, followed by notable M4.8 and M4.5 aftershocks clustered offshore. Over time, the animation shows how activity concentrated along the same fault.
Why visualize this? Earthquakes can feel chaotic in the moment. By mapping the data, patterns become clearer.
Why visualize this? Earthquakes can feel chaotic in the moment. By mapping the data, patterns become clearer.
This animated bubble map shows the aftershock sequence from September 30 to October 2. Each circle represents one quake, with its size scaled to the magnitude. Each frame of the video corresponds to about 30 to 40 minutes, allowing us to see how seismic activity unfolded.
October 3, 2025 at 4:14 AM
This animated bubble map shows the aftershock sequence from September 30 to October 2. Each circle represents one quake, with its size scaled to the magnitude. Each frame of the video corresponds to about 30 to 40 minutes, allowing us to see how seismic activity unfolded.
Flood risks are not just numbers—they’re lived realities. Data can help us see what’s at stake, and where accountability matters most.
#Philippines #FloodControl #DataViz #GIS #Corruption
#Philippines #FloodControl #DataViz #GIS #Corruption
September 17, 2025 at 8:53 AM
Flood risks are not just numbers—they’re lived realities. Data can help us see what’s at stake, and where accountability matters most.
#Philippines #FloodControl #DataViz #GIS #Corruption
#Philippines #FloodControl #DataViz #GIS #Corruption
🛠️ Behind the build:
Data: Global Flood Database + PSGC (Philippine boundaries)
Extraction: Google Earth Engine + AI-assisted scripting
Processing: QGIS + grid redistribution for population stats
Visualization: Observable Framework + DeckGL HexagonLayer
Data: Global Flood Database + PSGC (Philippine boundaries)
Extraction: Google Earth Engine + AI-assisted scripting
Processing: QGIS + grid redistribution for population stats
Visualization: Observable Framework + DeckGL HexagonLayer
September 17, 2025 at 8:53 AM
🛠️ Behind the build:
Data: Global Flood Database + PSGC (Philippine boundaries)
Extraction: Google Earth Engine + AI-assisted scripting
Processing: QGIS + grid redistribution for population stats
Visualization: Observable Framework + DeckGL HexagonLayer
Data: Global Flood Database + PSGC (Philippine boundaries)
Extraction: Google Earth Engine + AI-assisted scripting
Processing: QGIS + grid redistribution for population stats
Visualization: Observable Framework + DeckGL HexagonLayer
- In Mindanao, recurrent floods in Zamboanga del Sur, Davao del Sur, and Misamis Oriental highlight growing risks outside Luzon.
September 17, 2025 at 8:53 AM
- In Mindanao, recurrent floods in Zamboanga del Sur, Davao del Sur, and Misamis Oriental highlight growing risks outside Luzon.
📊 Key Insights:
- Bulacan and Pampanga were among the most flood-prone provinces with around 6.5M affected in affected areas. Interestingly, Bulacan also had the highest number and cost of flood control projects—where many substandard or ghost projects were also later discovered.
- Bulacan and Pampanga were among the most flood-prone provinces with around 6.5M affected in affected areas. Interestingly, Bulacan also had the highest number and cost of flood control projects—where many substandard or ghost projects were also later discovered.
September 17, 2025 at 8:53 AM
📊 Key Insights:
- Bulacan and Pampanga were among the most flood-prone provinces with around 6.5M affected in affected areas. Interestingly, Bulacan also had the highest number and cost of flood control projects—where many substandard or ghost projects were also later discovered.
- Bulacan and Pampanga were among the most flood-prone provinces with around 6.5M affected in affected areas. Interestingly, Bulacan also had the highest number and cost of flood control projects—where many substandard or ghost projects were also later discovered.
🔍 How to read the visualization:
Color of the hexagons = frequency of flooding (the redder, the more frequent)
Height of the hexagons = number of people exposed within that grid
Hover to highlight provinces for details
Color of the hexagons = frequency of flooding (the redder, the more frequent)
Height of the hexagons = number of people exposed within that grid
Hover to highlight provinces for details
September 17, 2025 at 8:53 AM
🔍 How to read the visualization:
Color of the hexagons = frequency of flooding (the redder, the more frequent)
Height of the hexagons = number of people exposed within that grid
Hover to highlight provinces for details
Color of the hexagons = frequency of flooding (the redder, the more frequent)
Height of the hexagons = number of people exposed within that grid
Hover to highlight provinces for details
Before corruption cases even surfaced a month ago, I built an exploratory visualization prototype to better understand flood risks across ASEAN. I mapped flood-prone areas and the number of affected people at a granular level.
September 17, 2025 at 8:53 AM
Before corruption cases even surfaced a month ago, I built an exploratory visualization prototype to better understand flood risks across ASEAN. I mapped flood-prone areas and the number of affected people at a granular level.
Here's the catch, it is using an actual data which was taken from Yale University's Geographically based Economy Data: gecon.yale.edu
Would you want to have a postcard of it? Let me know if this is mini-project you are keen to explore further.
Would you want to have a postcard of it? Let me know if this is mini-project you are keen to explore further.
Welcome | Geographically based Economic data (G-Econ)
The G-Econ research project is devoted to developing a geophysically based data set on economic activity for the world. The current data set (GEcon 4.0) is now publicly available and covers “gross…
gecon.yale.edu
August 7, 2025 at 12:28 PM
Here's the catch, it is using an actual data which was taken from Yale University's Geographically based Economy Data: gecon.yale.edu
Would you want to have a postcard of it? Let me know if this is mini-project you are keen to explore further.
Would you want to have a postcard of it? Let me know if this is mini-project you are keen to explore further.
- The area of the hash patterns represent the actual cropland of the surrounding rural areas.
- The color theme shows whether you are situated within a tropical, subtropical and other vegetation types.
- The color theme shows whether you are situated within a tropical, subtropical and other vegetation types.
August 7, 2025 at 12:28 PM
- The area of the hash patterns represent the actual cropland of the surrounding rural areas.
- The color theme shows whether you are situated within a tropical, subtropical and other vegetation types.
- The color theme shows whether you are situated within a tropical, subtropical and other vegetation types.
Here's my attempt to visualize someone else's city within a 1x1 degree of the world as a mini digital township.
Every visual element is encoded within 1x1 degree with:
- The size of your town or city represents by the actual population.
Every visual element is encoded within 1x1 degree with:
- The size of your town or city represents by the actual population.
August 7, 2025 at 12:28 PM
Here's my attempt to visualize someone else's city within a 1x1 degree of the world as a mini digital township.
Every visual element is encoded within 1x1 degree with:
- The size of your town or city represents by the actual population.
Every visual element is encoded within 1x1 degree with:
- The size of your town or city represents by the actual population.
Like sculpting, you take raw materials, squish them together, trim the excesses and voila!
This is not how usual design and development process actually works, but for the sake of figuring out something new, let's be messy. XD
#deckgl #dataexploration #innovation
This is not how usual design and development process actually works, but for the sake of figuring out something new, let's be messy. XD
#deckgl #dataexploration #innovation
July 11, 2025 at 10:39 AM
Like sculpting, you take raw materials, squish them together, trim the excesses and voila!
This is not how usual design and development process actually works, but for the sake of figuring out something new, let's be messy. XD
#deckgl #dataexploration #innovation
This is not how usual design and development process actually works, but for the sake of figuring out something new, let's be messy. XD
#deckgl #dataexploration #innovation
And the exploration alone is already a joyful process XD.
Speaking about mess, I basically dumped all potential data points I want to use for a potential 3d mapsploration, and potentially carve this to the point where it can be used for accessing key insights and make it even usable.
Speaking about mess, I basically dumped all potential data points I want to use for a potential 3d mapsploration, and potentially carve this to the point where it can be used for accessing key insights and make it even usable.
July 11, 2025 at 10:39 AM
And the exploration alone is already a joyful process XD.
Speaking about mess, I basically dumped all potential data points I want to use for a potential 3d mapsploration, and potentially carve this to the point where it can be used for accessing key insights and make it even usable.
Speaking about mess, I basically dumped all potential data points I want to use for a potential 3d mapsploration, and potentially carve this to the point where it can be used for accessing key insights and make it even usable.
Let data guide your next trip (or analysis)
Explore the dashboard + map → traveltrendsph.vercel.app
#DataViz #PhilippineTourism #Observable #OpenData #GIS #TravelTrends #TourismInsights
Explore the dashboard + map → traveltrendsph.vercel.app
#DataViz #PhilippineTourism #Observable #OpenData #GIS #TravelTrends #TourismInsights
🏖️ Where Do Travelers Go in the Philippines? 🇵🇭 | Philippine Tourism Data Explorer
Travel Trends PH 🇵🇭
traveltrendsph.vercel.app
June 23, 2025 at 2:30 AM
Let data guide your next trip (or analysis)
Explore the dashboard + map → traveltrendsph.vercel.app
#DataViz #PhilippineTourism #Observable #OpenData #GIS #TravelTrends #TourismInsights
Explore the dashboard + map → traveltrendsph.vercel.app
#DataViz #PhilippineTourism #Observable #OpenData #GIS #TravelTrends #TourismInsights
📊 What I discovered
🇵🇭 95M recorded visits in 2019, 2021, and 2023
📉 Foreign tourism dropped 35% from 2019 to 2023
🏙️ NCR saw a surprising +240% surge in local tourism
👀 Many lesser-known places are gaining fast — are you watching them?
🇵🇭 95M recorded visits in 2019, 2021, and 2023
📉 Foreign tourism dropped 35% from 2019 to 2023
🏙️ NCR saw a surprising +240% surge in local tourism
👀 Many lesser-known places are gaining fast — are you watching them?
🏖️ Where Do Travelers Go in the Philippines? 🇵🇭 | Philippine Tourism Data Explorer
Travel Trends PH 🇵🇭
traveltrendsph.vercel.app
June 23, 2025 at 2:30 AM
📊 What I discovered
🇵🇭 95M recorded visits in 2019, 2021, and 2023
📉 Foreign tourism dropped 35% from 2019 to 2023
🏙️ NCR saw a surprising +240% surge in local tourism
👀 Many lesser-known places are gaining fast — are you watching them?
🇵🇭 95M recorded visits in 2019, 2021, and 2023
📉 Foreign tourism dropped 35% from 2019 to 2023
🏙️ NCR saw a surprising +240% surge in local tourism
👀 Many lesser-known places are gaining fast — are you watching them?
🛠️ How I made it
Cleaned shapefiles and tabular data from government PDF reports. Mapped and visualized using Observable Framework, Plot, QGIS, and Mapshaper
Cleaned shapefiles and tabular data from government PDF reports. Mapped and visualized using Observable Framework, Plot, QGIS, and Mapshaper
🏖️ Where Do Travelers Go in the Philippines? 🇵🇭 | Philippine Tourism Data Explorer
Travel Trends PH 🇵🇭
traveltrendsph.vercel.app
June 23, 2025 at 2:30 AM
🛠️ How I made it
Cleaned shapefiles and tabular data from government PDF reports. Mapped and visualized using Observable Framework, Plot, QGIS, and Mapshaper
Cleaned shapefiles and tabular data from government PDF reports. Mapped and visualized using Observable Framework, Plot, QGIS, and Mapshaper
🌴 Find out which places Filipinos actually visit (with links to TripAdvisor Things to Do suggestions)
✈️ See which destinations foreign tourists love
📈 Track rising hotspots that could go viral next
🔗 Try it here: traveltrendsph.vercel.app
✈️ See which destinations foreign tourists love
📈 Track rising hotspots that could go viral next
🔗 Try it here: traveltrendsph.vercel.app
🏖️ Where Do Travelers Go in the Philippines? 🇵🇭 | Philippine Tourism Data Explorer
Travel Trends PH 🇵🇭
traveltrendsph.vercel.app
June 23, 2025 at 2:30 AM
🌴 Find out which places Filipinos actually visit (with links to TripAdvisor Things to Do suggestions)
✈️ See which destinations foreign tourists love
📈 Track rising hotspots that could go viral next
🔗 Try it here: traveltrendsph.vercel.app
✈️ See which destinations foreign tourists love
📈 Track rising hotspots that could go viral next
🔗 Try it here: traveltrendsph.vercel.app
🚀 What I built
A visual and interactive dashboard of popular, trending, and underrated destinations across the Philippines, powered by real tourism data.
A visual and interactive dashboard of popular, trending, and underrated destinations across the Philippines, powered by real tourism data.
🏖️ Where Do Travelers Go in the Philippines? 🇵🇭 | Philippine Tourism Data Explorer
Travel Trends PH 🇵🇭
traveltrendsph.vercel.app
June 23, 2025 at 2:30 AM
🚀 What I built
A visual and interactive dashboard of popular, trending, and underrated destinations across the Philippines, powered by real tourism data.
A visual and interactive dashboard of popular, trending, and underrated destinations across the Philippines, powered by real tourism data.
📉 That leaves a big gap between what’s known and what’s possible to explore with data.
So I asked: What if we made it easier to explore travel patterns across the Philippines using data?
So I asked: What if we made it easier to explore travel patterns across the Philippines using data?
🏖️ Where Do Travelers Go in the Philippines? 🇵🇭 | Philippine Tourism Data Explorer
Travel Trends PH 🇵🇭
traveltrendsph.vercel.app
June 23, 2025 at 2:30 AM
📉 That leaves a big gap between what’s known and what’s possible to explore with data.
So I asked: What if we made it easier to explore travel patterns across the Philippines using data?
So I asked: What if we made it easier to explore travel patterns across the Philippines using data?