How much of California's public wildfire damage-inspection record set can be attributed to a published electric service territory, and how much cannot. 37.9% of records fall inside more than one published boundary. Every rate carries its denominator and a confidence interval; no utility is ranked. Unofficial.

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boundary-data cal-fire california citations civic-tech cli data-provenance data-quality deterministic electricity energy geospatial govtech offline open-data python service-territory spatial-join uncertainty wildfire
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enhancement good first issue

How much of California's public wildfire damage-inspection record set can be attributed to a published electric service territory, and how much cannot. 37.9% of records fall inside more than one published boundary. Every rate carries its denominator and a confidence interval; no utility is ranked. Unofficial.

Python
#boundary-data#cal-fire#california#citations#civic-tech#cli#data-provenance#data-quality#deterministic#electricity#energy#geospatial#govtech#offline#open-data#python#service-territory#spatial-join#uncertainty#wildfire
enhancement good first issue

How much of California's public wildfire damage-inspection record set can be attributed to a published electric service territory, and how much cannot. 37.9% of records fall inside more than one published boundary. Every rate carries its denominator and a confidence interval; no utility is ranked. Unofficial.

Python
#boundary-data#cal-fire#california#citations#civic-tech#cli#data-provenance#data-quality#deterministic#electricity#energy#geospatial#govtech#offline#open-data#python#service-territory#spatial-join#uncertainty#wildfire

How much of California's public wildfire damage-inspection record set can be attributed to a published electric service territory, and how much cannot. 37.9% of records fall inside more than one published boundary. Every rate carries its denominator and a confidence interval; no utility is ranked. Unofficial.

Python
#boundary-data#cal-fire#california#citations#civic-tech#cli#data-provenance#data-quality#deterministic#electricity#energy#geospatial#govtech#offline#open-data#python#service-territory#spatial-join#uncertainty#wildfire

How much of California's public wildfire damage-inspection record set can be attributed to a published electric service territory, and how much cannot. 37.9% of records fall inside more than one published boundary. Every rate carries its denominator and a confidence interval; no utility is ranked. Unofficial.

Python
#boundary-data#cal-fire#california#citations#civic-tech#cli#data-provenance#data-quality#deterministic#electricity#energy#geospatial#govtech#offline#open-data#python#service-territory#spatial-join#uncertainty#wildfire
documentation good first issue

How much of California's public wildfire damage-inspection record set can be attributed to a published electric service territory, and how much cannot. 37.9% of records fall inside more than one published boundary. Every rate carries its denominator and a confidence interval; no utility is ranked. Unofficial.

Python
#boundary-data#cal-fire#california#citations#civic-tech#cli#data-provenance#data-quality#deterministic#electricity#energy#geospatial#govtech#offline#open-data#python#service-territory#spatial-join#uncertainty#wildfire
documentation enhancement good first issue

How much of California's public wildfire damage-inspection record set can be attributed to a published electric service territory, and how much cannot. 37.9% of records fall inside more than one published boundary. Every rate carries its denominator and a confidence interval; no utility is ranked. Unofficial.

Python
#boundary-data#cal-fire#california#citations#civic-tech#cli#data-provenance#data-quality#deterministic#electricity#energy#geospatial#govtech#offline#open-data#python#service-territory#spatial-join#uncertainty#wildfire