zhaxinge/Kenya-Land-Value

# Kenya-Land-Value This repository contains the source code and documentation for the kenya land value prediction project. ## 1. Structure of the repository ### 1.1. Code The code folder is organized into an analysis pipeline and a package containing tools necessary to enable that pipeline. - analysis/: This folder contains scripts and notebooks (both R and Python) used to train and test the prediction model. This folder also contains Python notebook that test the MOSAIKS approach to predict house prices in kenya using MOSAIKS. - mosaiks/: This package contains all custom tools and functions that are used by the scripts/notebooks in the analysis folder. Importantly, it includes configuration files, config.py and config.R, which contain settings that control parameters used. I sourced this folder from the mosaiks paper, but I had also changed parameters and deleted unnecessary scipts accordingly. ### 1.2. Data I have not upload this file for better control of the size of github files. The data folder is organized as follows: - `raw/`: The destination for downloads of all raw data. Locations for specific data files - `int/`: Contains all intermediate data necessary to reproduce the results including extracted features and aggregated/transformed label data. - `output/`: Contains outputs of regressions. ## 2. Details on the contents of each subfolder within code ### 2.1. analysis/ - MOSAIKS_kenya_619.ipynb: It relies on intermediate data in `data/int/`, and it calls on settings in config.py - 1_create_grid/: This folder contains scripts to construct the standardized grids that are used to connect satellite image-based features to labeled data. - 2_delete_xml.py: This file is used for deleting unnecessary files generated in the previous process. - 3_feature_extraction.py: This file transforms raw satellite images into MOSAIKS random convolutional features. In this result, I utilize the num features = 256. - 3_image_extration_nightlight.py: This fil …