You’re not the first person to say this 😆. There for 3 years then back to the peaceful antipodes

This is a misleading colour palette. 60% support of any issue in a democratic country is still incredibly high. Showing it dark red implies the opposite. Most countries would consider even 2/3 (66%) a ‘supermajority’. Showing 70% as yellow implies caution, whereas that is overwhelmingly supportive

Yep, this one! Gets me every time

Beautiful colour palette! Love it

Fair enough - can’t believe you kept it going for so long, absolute marathon!

Hey Jordan! Are you still logging these numbers publicly? I couldn’t find your website when I last checked?

This post of yours consumed way too much of my day.

Summer has arrived in Auckland today. View from Stanley Bay, across the Waitemata Harbour towards the CBD.

Incredible how this platform has grown over the last week - been followed by, & have followed, some amazing new people. Blown away by some of the work you are doing.

Refreshing to see (real) people able to genuinely post about their lives and work and be met with positivity online! Long may it last

NASA’s new Earth Copilot brings Microsoft #AI capabilities to democratize access to complex #geospatial data

youtube.com/watch?v=YJs6...

Thanks mate! Feels weird passing on over a decade of hard work to someone else, but I’m still involved behind the scenes. Had a blast doing it, time for someone with new energy to take over though

Having fun w/ ChatGPT's data processing:

- 1 shows pts, containing an NDVI value at given (evenly distributed) locations.

- 2 shows the value after being averaged with its nearest 6 points.

The smoothed layer made sense of the underlying data & instantly highlighted trends - in less than a minute

This field had been severely damaged by hail. We were tasked with identifying planting gaps caused by the storm, and weed growth so the growers could focus their operations and estimate recovery costs. Using a drone to do the work potentially saved days of manpower and manual field scouting.

Another exciting success we've had over the past month has been identifying both weeds and gaps in planting patterns:

📸 1 : Raw RGB drone imagery
📸 2 : Weed classification
📸 3 : Comparing plant (onion) classification to weed classification
📸 4 : Binned gap (dark blue) and weed (pink) analysis

This was super helpful as a starter! Thanks a lot for pulling it together. Would love to be added and connect with new users too!

I use QGIS too for the binning, the MMQGIS plugin is great at creating bins, then I use zonal stats to pull through the data from the underlying raster to get mean value within each bin.

I guess it depends on how large the area is, and how small you need the bins. They can scale up as needed.

I agree, we've had great results with hexbinning - very easy to understand and pick out trends. Looks great too.

Would love to chat, always keen to learn from how others work!

Lately, we've been focused on vineyard assessments using multispectral imagery.

We are trialling methods for representing & communicating potential areas of concern to growers. Key has been experimenting with how representing at the micro (plant) level or macro (field) level can affect readability.

In terms of new adventures, I’ve founded a drone-based analytics company; Altitude Analytics.

We provide data-driven solutions to the kiwi agriculture sector, primary industries & infrastructure providers.

Super excited with what the future holds for our little company!

altitudeanalytics.co.nz

New platform, new me.

I sold SpatialJam.com earlier in 2024 & have retired from basketball analysis for the foreseeable.

Made some great friends along the way, experienced the highs & lows of pro sports, but time to move on.

SpatialJam is in good hands & will remain a great resource for NBL fans.