Add acknowledgments section.

Author: njhenry

DESCRIPTION

@@ -4,7 +4,12 @@ Version: 1.1.0
 Authors@R: c(
     person("Nathaniel", "Henry", email = "nat@henryspatialanalysis.com",
         role = c("aut", "cre"), comment = c(ORCID = "0000-0001-8150-4988")),
-    person("Benjamin", "Mayala", role = c("aut")))
+    person("Benjamin", "Mayala", role = c("aut")),
+    person("Roy", "Burstein", role = c("ctb"), comment = c(ORCID = "0000-0001-8991-4762")),
+    person("Nafis", "Sadat", role = c("ctb")),
+    person("Michael", "Richards", role = c("ctb")),
+    person("Michael", "Collison", role = c("ctb")),
+    person("Michael", "Cork", role = c("ctb")))
 Description:
     Modern model-based geostatistics for point-referenced data. This package provides a
     simple interface to run spatial machine learning models and geostatistical models

README.md

@@ -39,3 +39,12 @@ A typical MBG workflow includes the following steps:
 7. _(Optional):_ **Aggregate** from pixels to administrative boundaries, preserving uncertainty
 
 For more details, see the [introductory vignette](https://henryspatialanalysis.github.io/mbg/articles/mbg.html).
+
+---
+
+### Acknowledgments
+
+Many thanks to the following groups of people for their contributions to the package:
+
+- IHME's Local Burden of Disease core code team, for their development of geostatistical software tools that helped inspire this package. Special thanks to Aaron Osgood-Zimmerman, Ian Davis, John VanderHeide, Jon Mosser, Katie Wilson, Lauren Woyczynski, Michael Collison, Michael Cork, Mike Richards, Nafis Sadat, Neal Marquez, and Roy Burstein.
+- The Geospatial Analysis team at the Demographic and Health Surveys Program