Data can take many forms, It could be a text an image or maybe it is a bunch of coordinates. Though computer vision and natural language processing have hit it off spatial data science doesn’t get the attention it deserves. Spatial data has both social and industrial impact. Spatial data is useful in agriculture and for observing weather patterns to predict natural disasters. It is also very important for industries that deal with logistics and supply chain management. So in this talk I would like to focus on spatial data and how effective use of location intelligence can add immense value
Duration
[x] 30 min
[ ] 45 min
Audience
This is a beginner friendly talk. Basic Python knowledge would be more than necessary
Outline
What is spatial thinking and the state of location intelligence
The need for spatial analytics
Spatial support from databases and packages. Why Osgeo is awesome
Problems that can be solved and processes that can be optimized with spatial data
Talking some cool spatial use-cases by Uber, Airbnb, Walmart etc
Title
Spatial thinking and location intelligence
Description
Data can take many forms, It could be a text an image or maybe it is a bunch of coordinates. Though computer vision and natural language processing have hit it off spatial data science doesn’t get the attention it deserves. Spatial data has both social and industrial impact. Spatial data is useful in agriculture and for observing weather patterns to predict natural disasters. It is also very important for industries that deal with logistics and supply chain management. So in this talk I would like to focus on spatial data and how effective use of location intelligence can add immense value
Duration
Audience
This is a beginner friendly talk. Basic Python knowledge would be more than necessary
Outline