Published:
Inspired by Milos Popovic’s tutorial, I attempted to create a 3D visualization of the average Airbnb rental prices per night per 1 km2 in London in 2023. Interestingly, high prices seem to be located in the outskirts of London, contrary to the distribution of Airbnb locations in the city center.
My complete GitHub project for this map can be found [here] (https://github.com/ofitrahramadhan/3dmaps_R)
Credits to Milos Popovic, 2024
Published:
Housing has been an undeniable primary aspect of human life. Without a proper shelter, a person cannot fulfill his/her basic need in life. This need has given more pressure when we know that there is only a limited amount of land that can be utilized for it. On other side, the competition to obtain a proper housing is getting more intense overtime due to urbanization (more people are coming to urban area to settle in). That is the exact reason why the price for this resource is skyrocketed to the point of no return.
Published:
Housing has been an undeniable primary aspect of human life. Without a proper shelter, a person cannot fulfill his/her basic need in life. This need has given more pressure when we know that there is only a limited amount of land that can be utilized for it. On other side, the competition to obtain a proper housing is getting more intense overtime due to urbanization (more people are coming to urban area to settle in). That is the exact reason why the price for this resource is skyrocketed to the point of no return.
Published:
After learning about Google Earth Engine (GEE) from CASA0025: Building Spatial Applications with Big Data in 2024 from CASA, I was impressed by the vast potential of this tool. Not only does it provide access to extensive planetary data, but it also includes essential tools for in-depth analysis and prediction, which can be dynamically visualized and presented through its spatial application. It’s a truly full-stack process!
Published:
After learning about Google Earth Engine (GEE) from CASA0025: Building Spatial Applications with Big Data in 2024 from CASA, I was impressed by the vast potential of this tool. Not only does it provide access to extensive planetary data, but it also includes essential tools for in-depth analysis and prediction, which can be dynamically visualized and presented through its spatial application. It’s a truly full-stack process!