Coastal flooding will disproportionately impact people on river deltas

dc.contributor.author	Edmonds, Doug
dc.contributor.author	Caldwell, Rebecca
dc.contributor.author	Brondizio, Eduardo
dc.contributor.author	Siani, Sacha
dc.date.accessioned	2020-08-19T18:56:53Z
dc.date.available	2020-08-19T18:56:53Z
dc.date.issued	2020
dc.description.abstract	This record contains scripts and readme files needed to reproduce the analyses presented in Edmonds et al., (2020), Nature Communications
dc.description.file	The data analysis scripts were written in Matlab.
dc.description.sponsorship	National Science Foundation
dc.identifier.doi	https://doi.org/10.1038/s41467-020-18531-4
dc.identifier.uri	https://hdl.handle.net/2022/25788
dc.language.iso	en
dc.publisher	Nature Communications
dc.relation.isversionof	https://hdl.handle.net/2022/25788
dc.subject	This record contains scripts needed to recreate the deltaic population dataset of Edmonds et al., 2020
dc.title	Coastal flooding will disproportionately impact people on river deltas
dc.type	Dataset
dc.type	Software

Files

Now showing 1 - 4 of 4

Name:: Edmonds_etal_PopulationDataExtraction.m
Size:: 5.39 KB
Format:: Unknown data format
Description:: This code extracts data that falls inside deltaic polygons from raster files described in the readme file.

Name:: Edmonds_etal_PopulationDataCalculation.m
Size:: 12.13 KB
Format:: Unknown data format
Description:: This file uses the output from the data extraction to calculate various deltaic area and population values

Name:: Edmonds_etal_DeltaPolygons.zip
Size:: 238.05 KB
Format:: Unknown data format
Description:: This zip file contains a shape file that has the coordinates for all deltaic polygons.

Name:: Edmonds_etal_2020_README.txt
Size:: 1.69 KB
Format:: Plain Text
Description:: Readme file explaining how to generate the dataset and analyses

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