Abstract
The Moirai land data system, written in C and R, is designed to produce recent historical land inputs for an integrated human-Earth systems model. The primary function of Moirai is to combine spatially explicit input data (e.g., raster images) with tabular input data (e.g., crop price table) to generate spatially-referenced tabular data of crop production, crop harvested area, land value, irrigated and rainfed crop area, water footprint, soil and vegetation carbon density of unmanaged land, and historical land use/cover. These data are aggregated to user-defined geographic boundaries within 231 countries and the default boundaries are defined globally by 235 watersheds. The production, harvested area, and land value outputs reconstruct those available from the Global Trade Analysis Project, while the other outputs provide additional information for various applications, such as initializing or evaluating a land use change model or an economic general/partial equilibrium model. Furthermore, Moirai is a modular system that can be updated and customized through replacement and addition of source data.
Highlights
Di Vittorio, A V, et al 2020 Moirai Version 3: A Data Processing System to Generate Recent Historical Land Inputs for Global Modeling Applications at Various Scales
The Moirai land data system (Moirai) is designed to pro vide open-source land data corresponding and additional to Global Trade Analysis Project (GTAP) data, with the flexibility and modularity to customize spatial delineation and update data sources commonly used by the Global Change Assessment Model (GCAM) [6]
The three primary outputs are 1) crop harvested area and 2) production for 175 crops at the level of each Geographic Land Unit (GLU) within each country, and 3) land rent value for 12 land types at the level of each GLU within each economic region. The content of these files reconstructs that of the GTAP land use database, and the output file names are specified in the input file
Summary
Moirai Version 3: A Data Processing System to Generate Recent Historical Land Inputs for Global Modeling Applications at Various Scales. The primary function of Moirai is to combine spatially explicit input data (e.g., raster images) with tabular input data (e.g., crop price table) to generate spatiallyreferenced tabular data of crop production, crop harvested area, land value, irrigated and rainfed crop area, water footprint, soil and vegetation carbon density of unmanaged land, and historical land use/cover. These data are aggregated to user-defined geographic boundaries within 231 countries and the default boundaries are defined globally by 235 watersheds. Four R diagnostics scripts are located in a “diagnostics” folder and the path to their outputs is specified in each script, with the default being a specific folder in the diagnostics folder
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