Update README.md

README.md

@@ -6,7 +6,7 @@ National-level prediction and extrapolation of invasive-species costs (ratio of
 <br>
 Prof <a href="https://globalecologyflinders.com/people/#DIRECTOR">Corey J. A. Bradshaw</a> <br>
 <a href="http://globalecologyflinders.com" target="_blank">Global Ecology</a> | <em><a href="https://globalecologyflinders.com/partuyarta-ngadluku-wardli-kuu/" target="_blank">Partuyarta Ngadluku Wardli Kuu</a></em>, <a href="http://flinders.edu.au" target="_blank">Flinders University</a>, Adelaide, Australia <br>
-October 2022 <br>
+December 2022 <br>
 <a href=mailto:[email protected]>e-mail</a> <br>
 <br>
 contributors: <a href="https://www.researchgate.net/profile/Philip-Hulme-2">Phil Hulme</a>, <a href="https://carleton.ca/biology/people/emma-hudgins/">Emma Hudgins</a>, <a href="https://www.mcgill.ca/qls/researchers/brian-leung">Brian Leung</a>, <a href="https://www.cee-m.fr/member/courtois-pierre/">Pierre Courtois</a>, <a href="https://www.ese.universite-paris-saclay.fr/en/team-members/franck-courchamp/">Franck Courchamp</a><br>
@@ -21,10 +21,15 @@ contributors: <a href="https://www.researchgate.net/profile/Philip-Hulme-2">Phil
 - <em>GDPpc.csv</em>: per capita gross domestic product by country (source: <a href="https://data.worldbank.org/indicator/NY.GDP.PCAP.CD">World Bank</a>)
 - <em>CPI.csv</em>: corruption perception index (source: <a href="https://www.transparency.org/en/cpi/2021">Transparency International</a>)
 - <em>govexpedu.csv</em>: government expenditure on all education (% of GDP; source: <a href="https://data.worldbank.org/indicator/SE.XPD.TOTL.GD.ZS">World Bank</a>)
-- <em>protarea.csv</em>: proportion of terrestrial surface under some form of protection (source: <a href="https://data.worldbank.org/indicator/ER.LND.PTLD.ZS">World Bank</a>)
 - <em>faoag.csv</em>: value added proportion of GDP from agriculture, fisheries, and forestry (source: <a href="https://www.fao.org/faostat/en/#data/MK">Food and Agriculture Organization</a> of the United Nations)
+- <em>GHSI2022.csv</em>: global health security index (source: <a href="https://www.ghsindex.org/report-model/">Global Health Security Index</a> of the United Nations)
+- <em>pcAgrLand.csv</em>: % land surface area devoted to agriculture (source: <a href="https://data.worldbank.org/indicator/AG.LND.AGRI.ZS">World Bank</a>)
+- <em>importGS.csv</em>: imports of goods and services (source: <a href="https://data.worldbank.org/indicator/NE.IMP.GNFS.CD">World Bank</a>)
+- <em>stjarticles.csv</em>: scientific & technical journal articles (source: <a href="https://data.worldbank.org/indicator/IP.JRN.ARTC.SC">World Bank</a>)
+- <em>pop2021.csv</em>: 2021 national population size (source: <a href="https://data.worldbank.org/indicator/SP.POP.TOTL">World Bank</a>)
 - <em>continent.countryINVACOST.csv</em> & <em>fao.cntry.code.csv</em> are code files for merging countries and regions across different datasets
 
+
 ## Required R packages
 - <code>invacost</code>
 - <code>lme4</code>
@@ -33,4 +38,10 @@ contributors: <a href="https://www.researchgate.net/profile/Philip-Hulme-2">Phil
 - <code>boot</code>
 - <code>VIM</code>
 - <code>mice</code>
-
+- <code>performance</code>
+- <code>sjPlot</code>
+- <code>rworldmap</code>
+- <code>rgeos</code>
+- <code>SpatialEpi</code>
+- <code>nlme</code>
+- <code>rcompanion</code>