Applied Geospatial
Earthsight
Geospatial Failures, Problem Selection, Being an Analyst/Scientist is Hard
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Geospatial Failures, Problem Selection, Being an Analyst/Scientist is Hard

A Rowdy One!

Warning: we swore a little in this one, if that’s the kind of thing that offends you I recommend you don’t listen!

This episode was about failures: that sinking feeling you get when a project just isn’t working out.

(00:00) Experimental failures. Krishna won’t let Chris forget about his failed SimCLR experiments.

(04:30) Geographic generalization discussion. Husky vs Malamute vs Wellpad.

(11:32) Chris fails to map coconut palm because it’s hard. Read the paper carefully.

(15:30) Krishna maps oil slicks, but it’s hard.

(20:30) Cognitive debt, problem selection and failure modes in geospatial.

(31:00) The sales cycle, promises, inflated expectations. Limitations in geospatial.

(34:00) Problem selection in journalism. Are we running out of ideas?

(37:00) Turning a failure into a success. Cover crop mapping is hard.

(45:00) Turning failure into a success: predicting sugarcane yield is hard.

(49:00) Is building tooling easier than solving modeling problems?

(53:00) Vertical seems better than horizontal. Solutions are multi-modal.

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