GIScience/healthcare-access-idai

Material on an analysis of healthcare access in Mozambique with the impact of cyclone Idai # Healthcare accessibility and road criticality during floods disaster Analysis of the impact of disasters on accessing health facilities by population and assessment of the road criticality in delivering the access. This analysis was done using the case study of floods induced by the cyclone Idai in Mozambique in march-april 2019. The analysis was developped by Sami Petricola with the support of Marcel Reinmuth and used for a scientific publication. # Content - System requirements - Installation - R scripts - Dependencies - Osmosis - Docker - Folder structure - **I. Data Prepation** - 1. Data download - 1.1 Main datasets - 1.2 Preparation of the flood data - 2. Create a .osm.pbf file - **II. Healthcare accessibility analysis** - Vector-based analysis - 1. Launch ORS instances - 2. Isochrone processing - Raster-based analysis - **III. Centrality analysis** - 1. Betweeness centrality - 2. _Targeted_ centrality - 3. Indicator comparison - **IV. OSM data completeness analysis** - 1. Aggregation at country level - 2. Disaggregation between flooded and non flooded regions # System requirements ### Scripts have been tested on the following systems |Versions|Linux|MacOS| |---|---|---| |OS|Ubuntu 20.04.2|11.3| |R|4.0.5|4.0.5| |GDAL|3.2.1|3.3.0| |GEOS|3.9.0|3.9.1| |PROJ|7.2.1|8.0.1| **WARNING:** Make sure to use a version of GEOS > 3.9 Some issues on geometry operations (st_difference) were detected with the use of older libraries which don't include OverlayNG in JTS. It was implemented in JTS version 1.18. ## Performance An estimation of the time performance can be found here # Installation Clone git repository: ``` git clone gitlab.gistools.geog.uni-he… ``` ## Directory structure Running the scripts will create automatically the required folders `local_ors_accessibility`: working directory - `docs`: several documentations about the requirements and running time est …