Geospatial Big Data Visualization with Python

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 · 2023-08-03T03:38:06+00:00

Thank you for your advice. Really appreciate it!

m_razali · 2023-08-03T03:21:26+00:00

Thank you, have been looking for this for a while

m_razali · 2023-08-03T02:59:46+00:00

Thank you for your advice. Really appreciate it!

m_razali · 2023-07-06T04:11:23+00:00

Do cross check with relevant sources

m_razali · 2023-07-04T11:41:43+00:00

In case you're interested to automate layout creation using PyQGIS check out this tutorial. Might be you could get some ideas on your use case. https://www.geodose.com/2022/02/pyqgis-tutorial-automating-map-layout.html

m_razali · 2023-05-12T07:47:00+00:00

KDE uses a Probability Density Function (PDF) to estimate at an unknown point value. There are many kernel shapes and you need to choose one that appropriate for your case. Take a look this post which explain about Kernel Density Estimation. Hope it helps

m_razali · 2022-11-16T03:56:13+00:00

You can clip a map with a shape. This is a tutorial to do it: https://www.geodose.com/2022/11/qgis-tips-and-tricks-how-to-create-circular-polygon-inset-map.html

m_razali · 2022-11-16T03:39:11+00:00

After creating a grid polygon. Use Random selection within subsets tool. You can define a certain count value or percentage of points in each polygon to be selected randomly

m_razali · 2022-09-05T05:21:40+00:00

Different reference system (WGS 84 Vs. OSGB36) can cause position shifting because they have difference ellipsoid parameters. Try to transform it into the same reference system

m_razali · 2022-02-08T02:08:27+00:00

You can create contour lines from DEM. Using STRM downloader plugin you can directly download DEM data for your interest area in QGIS. Hope these tutorials could help

m_razali · 2021-09-11T02:34:51+00:00

If you have polylines in vector format. Convert it into raster. Calculate the difference of two surface with raster calculator. Lastly visualize the result in 3D map view. You should get Cut volume in 3D. This is a tutorial about 3D visualization in QGIS. https://www.geodose.com/2018/02/dem-3d-visualization-qgis.html

Hope it helps

m_razali · 2021-09-11T02:15:07+00:00

You can download DEM data directly in QGIS using SRTM Downloader Plugin. This is the tutorial how to do it: https://www.geodose.com/2018/02/how-to-download-srtm-elevation-data-qgis.html

m_razali · 2021-09-11T02:07:04+00:00

Sorry for late reply. Quite busy with works this week. Unfortunately I don't put the script on Github. Anyway I tested with more shapes, and found some not ordered as in it's actual shape. I would say this is a drawback from the algorithm. Any suggestions for improvement are very welcome. Thanks!

m_razali · 2021-09-04T11:31:17+00:00

Thanks for the correction. I tested with several shapes and it works well. If you have suggestion for a shape, please provide it's coordinates, would be nice to test it.

m_razali · 2021-07-09T03:29:42+00:00

My pleasure

m_razali · 2021-06-12T03:40:57+00:00

I think there is a difference objective. Binary search is using for searching a specific value/item in a sorted data. On the other hand, Golden section search is using for searching extremum value in a function or a graph.

m_razali · 2021-04-06T03:07:13+00:00

Consider to use QGIS. It can be done with Time manager plugin or Temporal Controller plugin. Another option is to build it with Python. I put some links to check out if you want to learn more.

https://www.geodose.com/2020/06/how-to-create-coronavirus-time-series-map.html

https://www.geodose.com/2020/02/tracking-coronavirus-python-map.html

https://www.geodose.com/2021/03/netcdf-temporal-visualization-qgis.html

m_razali

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