Python Tutorial: Locating Nearest Facility with Origin-Destination Matrix

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This tutorial shows you how to use the OpenRouteService Distance Matrix API to locate the nearest health facility for many locations.
We will take 2 layers for Washington DC - one with points representing addresses and another with points representing mental health facilities - and find out the facility with the least travel distance from each address using the OpenRouteService (ORS) Distance Matrix API.
View the complete notebook in Google Colab colab.research...
Other tutorials referenced in the video
Calculate Driving Distance between 2 locations using ORS API: courses.spatia...
Visualizing the Route between 2 locations: courses.spatia...
See more Python Geospatial tutorials at github.com/spa...

Опубликовано:

8 сен 2024

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Комментарии : 6

@user-fn1sp8wy6p 5 месяцев назад

This was a very useful video. Thankyou for making it

@pedromotta6563 Год назад

Hello Ujaval! Great video! I'm trying to verify the distances using 1 origin and multiple destinations. The weird part is that im getting a 403 error "Forbidden" even with a valid API key. Do you have any idea what might cause this error?

@SpatialThoughts Год назад

print(response.text) to see more details

@ravindrasingh-bn8uc Год назад

Hii Ujjawal, i am a phd scholar working on Urban green spaces in Delhi. I want to differentiate agriculture landuse from other green spaces. I guess this will need phenology as input. Do you have any idea how to do it? Thank you😊

@SpatialThoughts Год назад

Fit a NDVI harmonic time series and add the resulting bands (phase and amplitude) to the composite image. This captures the phenology and helps with classification of different green cover. Tutorial developers.google.com/earth-engine/tutorials/community/time-series-modeling. An application that applied this for India (full code is open source) github.com/openlandcover/one7types

@ravindrasingh-bn8uc Год назад

@@SpatialThoughts thank you very much, Ujjawal. I will get back to you after trying this.