AfricaRice and IRRI MICCORDEA project for modelling effects of climate change on rice disease in Tanzania.
This repository includes the LaTeX files, R and Python for the AfricaRice and IRRI MICCORDEA project for modelling effects of climate change on rice disease in Tanzania.
The LaTeX files compile the manuscript as submitted.
The R files are used for data analysis and figure generation, figures are generated as .eps files and placed in "LaTex/Figures" for inclusion in final PDF document.
The Python script is an ArcGIS script that is used to run RICEPEST in a GIS environment using inputs from the EPIRICE model. This script requires a Windows operating system and a valid installation of ArcGIS to run. Two scripts are available. The first, RICEPEST-Original.py, is a replication of the original RICEPEST model minus some features. The second, RICEPEST-Modified.py, is the version used in this manuscript with a modified PS3.
The Data directory contains the necessary files to reproduce this work. Weather files are used with the EPIRICE and RICEPEST.py models. Output from EPIRICE RICEPEST-Modified.py are also available in this directory for quicker analysis.
The KML directory contains supplementary KML files, Tanzania_BB_Change.kml, reproduces Figure 7 from the manuscript in GoogleEarth and Tanzania_attainable_yield.kml shows attainable yields for all time-slices as predicted by RICEPEST. Due to the need to reproject the values are not exactly replicated from Figure 7 in manuscript.
The final published version can be found in the Springer Journal, Climatic Change. http://link.springer.com/article/10.1007/s10584-015-1580-2?wt_mc=internal.event.1.SEM.ArticleAuthorOnlineFirst