







Note: We make occasional changes to CSV download paths. Monthly data is updated on the 16th of each month and most weekly data is updated every Tuesday. To explore the data, please visit the market explorer dashboard.

Public trees
The public tree dataset includes a listing of public trees on boulevards and public trees in parks, in the City of Vancouver and provides data on tree coordinates, species and other related characteristics. Private trees are not included in the inventory.Tree records that do not have coordinates data will not show up in the list. Data currencyThe dataset refreshes daily on weekdays. Tree attributes are updated on a regular basis but it may be several years between updates for some attributes. Priorities and resources determine how fast a change in reality is reflected in the data. The coordinates were originally provided by the 2016 Geospatial Data for City of Vancouver Street Trees project. Data accuracyTree attributes are updated on a regular basis but it may be several years for some attributes. Note: 0 value in latitude and longitude fields mean there is no related information available Websites for further informationStreet Tree BylawCity trees

I used o3 to profile myself from my saved Pocket links
Welp, Pocket shuts down tomorrow despite our pleas for it to stay. While migrating1 all of my saved articles, I noticed that I’ve got almost 900 saved articles spanning nearly 7 years. That’s a goldmine of stuff-I-like data! Some quick analysis using xsv2: 𝄢 unzip pocket.zip && xsv headers part_000000.csv 1 title 2 url 3 time_added 4 tags 5 status 𝄢 xsv sample 1 part_000000.csv | xsv flatten title The Uncertain Future of American Libraries url https://mek.fyi/posts/the-uncertain-future-of-american-libraries time_added 1678243022 tags status unread 𝄢 xsv count part_000000.csv 878 𝄢 xsv select time_added part_000000.csv | xsv stats | xsv select min,max | xsv flatten | while read header value; do echo -n "$header " date -I -d "@$value" done min 2018-07-12 max 2025-06-26 Experiment Recalling Simon Willison’s recent geoguessing challenge for o3, I considered, “What might o3 be able to tell me about myself, simply based on a list of URLs I’ve chosen to save?” I opened a temporary chat with o3 (doesn’t use ChatGPT’s memory feature) and prompted:

Dynamic Data Science
<p>Use our Common Online Data Analysis Platform (CODAP) to explore dynamic data science activities and gain fluency in data moves to examine large datasets.</p>

Defining data agency - building [at] habitat
& more reflections from Habitat's summer in Berlin
Storeys
STOREYS covers the latest on the housing and real estate markets in Toronto, Vancouver, and the rest of Canada. Get all the latest real estate news from across the country.

Household Financial Transaction Data
The growth of the availability and use of detailed household financial transaction micro data has dramatically expanded the ability of researchers to understand both household decision making and aggregate economic fluctuations across a wide range of fields. This class of transaction data is derived from a myriad of sources, including financial institutions, FinTech apps, and payment intermediaries. We review how these detailed data have been utilized in finance and economics research and analyze both their benefits and limitations as compared to more traditional measures of income, spending, and wealth. Finally, we discuss the future potential of this flexible class of data in firm-focused research, real-time policy analysis, and macro statistics.

Communities Across the Nation Want to Add Housing. Which Metropolitan Areas Are Adding the Most?
Between 2020 and 2025, four Texas metropolitan areas—Austin, Dallas, Houston, and San Antonio—accounted for 13.3 percent of total US housing supply growth.

One condo, hundreds of homes: UHERO study reveals housing ripple effect | University of Hawaiʻi System News
Housing filtering is a process in which new construction sets off a chain of moves that frees up existing homes across the market.


chokepoint6
Discover, analyze and download data from chokepoint6. Download in CSV, KML, Zip, GeoJSON, GeoTIFF or PNG. Find API links for GeoServices, WMS, and WFS. Analyze with charts and thematic maps. Take the next step and create StoryMaps and Web Maps.

Opinion | One City Might Have Just Cracked the Housing Crisis
A large real estate development in the middle of Vancouver, British Columbia, shows how cities can build more housing.

Spacedrive — A local-first data engine for everything you own
Index any data source. Search everything from one place. Keep it on your machine.

Tools by month - tools.simonwillison.net
New chart on my stats page! 📊 The set of PDSes is manually selected to show those which are open and have enough users to show up at all, I will be updating it over time. I don't have historical post data to count per PDS further than a few weeks back. blue.mackuba.eu/stats/#weekly_pds_chart