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edits to section 2 gis
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GingerKiwi committed Jan 15, 2024
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Expand Up @@ -126,7 +126,11 @@ There's a lot of similarities between AI vector databases and GIS. The following
Data in a Geographical Information system has location data. By using spatial data analysis you can answer such questions as :

- "Where are students most likely to be misplaced in self-contained special education classes?" (A project I did.)
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- Where are the locations in a city that are food deserts (no access to grocery stores) with poor public transportation have low income?
- What has changed in this area since [date]?
- How fast is an infectious disease spreading (eg. covid)?

Vector databases facilitate LLMs and other AI models in answering question by using "location" of data points. Data that is considered to be more related have a closer location than those not as related.

<img src="/images/2024-01-13_Screenshot_VectorAI.png" alt="graphic: cartoon like globe on the left showing a city, farms, fields, and bodies of water. There are arrows pointing from the globe to one of the layers on the right. The right side has a set of six squares one on top of the other with space in between. The top has dots and is labeled customers. Second one is a street map and is labeled streets. Third is an outline of land areas. It's labeled parcels. Fourth layer is a grid with squares different colours. It looks like a river is running diagonally across it. Fifth layer is similar to the fourth, but has different colours. It's labeled land usage. The bottom layer shows different land heights, There's a river running though the middle with a city on one side and trees and rocks on the other. "/>

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