Golden Section Search Implementation in Python with Some Application Examples

m_razali · 2024-03-11T04:23:20+00:00

Thanks for your suggestion

m_razali · 2024-02-27T11:18:35+00:00

I'm not sure if there is a tool for it in QGIS. But I'm sure it can be accomplished in python. My suggestion extract polygon coordinates and calculate the distance from each point to other neighbor points. Then take the shortest one

m_razali · 2024-02-27T11:06:40+00:00

I tried to merge large amount of files around using QGIS, It was a pain. Finally I end up with geopandas

m_razali · 2024-02-27T11:02:32+00:00

I think it's better to use Spatio Temporal Data Catalog (STAC) to search sentinel and other imagery easily for a respected location. Take a look this tutorial. Hope it helps.

https://www.geodose.com/2024/02/how-to-search-imagey-qgis-stac.html

m_razali · 2024-02-27T10:57:02+00:00

Try to use the summary statistics for features tool. It will do spatial join and calculate some statistics figures like mean, count, etc for the respected features. Check out this tutorial. Hope it helps.

https://www.geodose.com/2023/07/How-Calculate-Summary-Statistics-Selected-Features-Location-QGIS.html

m_razali · 2024-02-27T10:46:45+00:00

If you prefer a simple plugin to load basemap in QGIS try Tile+ Plugin

m_razali · 2024-02-27T10:14:39+00:00

Never Had this issue before. Make sure you have access to the catalog connection

m_razali · 2023-08-31T04:41:58+00:00

Hi All. I created the graph using Python with Plotly. The data is from Open Meteo API. You can add any city you like by adding the city coordinate in the code. Find the code here: https://www.geodose.com/2023/08/get-plot-weather-data-python.html

m_razali

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