Following on from last years Python course’s I am happy to be able to run the next course on 25th and 26th April 2023. Please see the link below for more details. https://www.eventbrite.com/e/python-programming-for-geospatial-professionals-tickets-547236879237 This 2 day course will take you from a standing start, no experience required. I’ll give you the tools and knowledge to… Read More »New date for Geo Python course 25/26th April
I’ve been teaching GeoPython recently to beginners – still places on courses in September (GeoPython for beginners and Git for beginners – early bird rates for August). We do alot of foundational work in order to open the doors to then start doing impactful things with Python. The topic that seems to get most people… Read More »In praise of GeoPandas.explore
Just finished the July course and already had some great feedback ‘Excellent couple of days, thank you very much! Learnt loads!’ ‘I think you use the resources in a fantastic way the course is great and we leave with a lot of insights’. ‘Thank you very much Andrew! Really interesting and useful course. Thanks.’ ‘Was… Read More »New date for Geo Python course. 20th and 21st September 2022
There is one week left until my intro to Geo Python course. Day 1 is just Python basics, day 2 is geo basics, you can choose to do either or both. Registration closes 15th July 2022. Full info below. https://www.eventbrite.com/e/python-programming-for-geospatial-professionals-tickets-372631399547 Learn more about the training I offer here Or email me info.acgeospatial@gmail.com
I’m writing a series of irregular short posts on some tips and tricks on using Geospatial Python. They may not be best practice, but I hope they are of help. I’ll try and give some context to when I’ve used the ‘tip’. Convert your command scripts to a GUI easily. Frequently I’ve been asked ‘should… Read More »Tips and Tricks #5 convert cmd line to GUI easily
I’m writing a series of irregular short posts on some tips and tricks on using Geospatial Python. They may not be best practice, but I hope they are of help. I’ll try and give some context to when I’ve used the ‘tip’. Open files once if possible and.. use a context manager Something I’ve been… Read More »Tips and Tricks #4 Open raster files once (if possible)
I’m writing a series of irregular short posts on some tips and tricks on using Geospatial Python. They may not be best practice, but I hope they are of help. I’ll try and give some context to when I’ve used the ‘tip’. Using many image processing techniques for input When you are building your machine… Read More »Tips and Tricks #3 improve Machine Learning with multiple inputs from a single image
I’m writing a series of irregular short posts on some tips and tricks on using Geospatial Python. They may not be best practice, but I hope they are of help. I’ll try and give some context to when I’ve used the ‘tip’. Use tqdm as a diagnostic tool to understand your iterables You are going… Read More »Tips and Tricks #2 Consider tqdm
I’m starting a new series of irregular short posts on some tips and tricks on using Geospatial Python. They may not be best practice, but I hope they are of help. I’ll try and give some context to when I’ve used the ‘tip’. First up, interoperability. Specifically in Rasterio This is already very well documented… Read More »Tips and Tricks #1 – changing the dimensions of arrays
Quite often I get sent / send shapefiles (zipped up mostly). I wondered if there was any way of reducing the filesize, sometimes these files can get quite big! In this notebook I wanted to run some checks / experiments on whether I could reduce the size of a shapefile. I tried various options, simplifiying… Read More »Reducing Shapefile size
I’ve been writting a lot recently about STAC, COG and Python. These are some of my recent posts: COG and Landsat in QGIS COG and Landsat with Python STAC, COG, Python and QGIS Smiley Face, STAC and COG I am very much aware that the majority of work with Earth Observation data is still within… Read More »Building virtual rasters from STAC
This is a light hearted post which hopefully you find fun. Let’s take a png of a (hand drawn!) smiley face and hide it in Satellite images that I have streamed as a Cloud Optimized Geotiff and found via a SpatioTemporal Asset Catalog (STAC). We are going to be using this 2kb png and hiding… Read More »Smiley Face, STAC and Cloud Optimised Geotiffs
I’ve spent a lot of time in the past trying to find satellite data. What the SpatioTemporal Asset Catalog (STAC) does is to build a common specification for how Satellite images (read Assets, they can include other things like drone imagery) are queried and found online. Why should we care about this? Well, for a… Read More »STAC, COG, Python and QGIS
I don’t think I have come across a GitHub repo any code while looking for more resources to add for awesome-eo-code that is related to evaluating training data for Satellite imagery. I have often wondered how someone new to the industry could make their mark. In a sector that has focused a great deal of… Read More »Training data and Satellite data
Plotting raster data can be done in a few lines of code with Matplotlib. Adding a colour bar (color bar) associated to your data can be as simple as plt.colorbar() for example: This is a nice quick way of displaying a scale for your data. I’ve often wanted to plot discrete (and not continuous) colour… Read More »Colour bar for discrete rasters with Matplotlib