Estimate of Dominant Land Use / Land Cover per DioceseDATA (details below): 1. MODIS Land Cover, Land Cover Type 2: University of Maryland (UMD) scheme2. Global Diocesan Boundaries, 2.0 2019 (1:3M Scale)DATA PROCESSINGZONAL STATISTICS: MODIS Land Cover, Land Cover Type 2: University of Maryland (UMD) scheme --> Global Diocesan Boundaries, 2.0 2019 (1:3M Scale)NOTE:Values for various landuse and land cover (LULC) codes are in pixels. Pixels were 500m sq. Total represents sum of values between 1 and 17 which represented the actual data. Data pixels with center in a diocese can dived each class by the total to get percentage, more accurately this is not simply the percent of LULC per diocese but a percent of pixels representing LULC in diocese. Values could be used to rank by a particular LULC type or could normalize by area also.Data development:Burhans, Molly A., Cheney, David M., Emege, Thomas, Gerlt, R.. . “Land use and land cover per diocese”. 1:3M. Version 1.0. MO and CT, USA: GoodLands Inc., Environmental Systems Research Institute, Inc., 2019.Affiliated Map and Application Development:Molly Burhans, October 2019DATA SET 1: LAND USE LAND COVERGlobal mosaics of the standard MODIS land cover type dataChannan, S., K. Collins, and W. R. Emanuel. 2014. Global mosaics of the standard MODIS land cover type data. University of Maryland and the Pacific Northwest National Laboratory, College Park, Maryland, USA. 2013.ABOUT MODIS LAND COVERINFORMATION QUOTED FROM:URL: https://yceo.yale.edu/modis-land-cover-product-mcd12q1SOURCE: Friedl, M. A., Sulla-Menashe, D., Tan, B., Schneider, A., Ramankutty, N., Sibley, A., andHuang, X. (2010). MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets. Remote Sensing of Environment, 114, 168–182.

Human Footprint per Diocese for CO2 Story MapBurhans, Molly A., Cheney, David M., Gerlt, R.. . “Human Footprint per Diocese for CO2 Story Map”. Scale not given. Version 1.0. MO and CT, USA: GoodLands Inc., Catholic Hierarchy, Environmental Systems Research Institute, Inc., 2019.Methodology1. Zonal Statistics: Human influence and Dioceses --> Mean human influence per dioceseHuman Footprint: https://cgisc.maps.arcgis.com/home/item.html?id=cfe002c152204bd8b6e392f3f39f2878Human Footprint Abstract:Remotely-sensed and bottom-up survey information were compiled on eight variables measuring the direct and indirect human pressures on the environment globally in 1993 and 2009. This represents not only the most current information of its type, but also the first temporally-consistent set of Human Footprint maps. Data on human pressures were acquired or developed for: 1) built environments, 2) population density, 3) electric infrastructure, 4) crop lands, 5) pasture lands, 6) roads, 7) railways, and 8) navigable waterways. Pressures were then overlaid to create the standardized Human Footprint maps for all non-Antarctic land areas. A validation analysis using scored pressures from 3114×1 km2 random sample plots revealed strong agreement with the Human Footprint maps. We anticipate that the Human Footprint maps will find a range of uses as proxies for human disturbance of natural systems. The updated maps should provide an increased understanding of the human pressures that drive macro-ecological patterns, as well as for tracking environmental change and informing conservation science and application.For more information, and to download the data, visit the original citation here: https://datadryad.org//resource/doi:10.5061/dryad.052q5LayersHFP_2009Global Diocesan Boundaries:Burhans, M., Bell, J., Burhans, D., Carmichael, R., Cheney, D., Deaton, M., Emge, T. Gerlt, B., Grayson, J., Herries, J., Keegan, H., Skinner, A., Smith, M., Sousa, C., Trubetskoy, S. “Diocesean Boundaries of the Catholic Church” [Feature Layer]. Scale not given. Version 1.2. Redlands, CA, USA: GoodLands Inc., Environmental Systems Research Institute, Inc., 2016.Using: ArcGIS. 10.4. Version 10.0. Redlands, CA: Environmental Systems Research Institute, Inc., 2016.Boundary ProvenanceStatistics and Leadership DataCheney, D.M. “Catholic Hierarchy of the World” [Database]. Date Updated: August 2019. Catholic Hierarchy. Using: Paradox. Retrieved from Original Source.Catholic HierarchyAnnuario Pontificio per l’Anno .. Città del Vaticano :Tipografia Poliglotta Vaticana, Multiple Years.The data for these maps was extracted from the gold standard of Church data, the Annuario Pontificio, published yearly by the Vatican. The collection and data development of the Vatican Statistics Office are unknown. GoodLands is not responsible for errors within this data. We encourage people to document and report errant information to us at data@good-lands.org or directly to the Vatican.Additional information about regular changes in bishops and sees comes from a variety of public diocesan and news announcements.GoodLands’ polygon data layers, version 2.0 for global ecclesiastical boundaries of the Roman Catholic Church:Although care has been taken to ensure the accuracy, completeness and reliability of the information provided, due to this being the first developed dataset of global ecclesiastical boundaries curated from many sources it may have a higher margin of error than established geopolitical administrative boundary maps. Boundaries need to be verified with appropriate Ecclesiastical Leadership. The current information is subject to change without notice. No parties involved with the creation of this data are liable for indirect, special or incidental damage resulting from, arising out of or in connection with the use of the information. We referenced 1960 sources to build our global datasets of ecclesiastical jurisdictions. Often, they were isolated images of dioceses, historical documents and information about parishes that were cross checked. These sources can be viewed here:https://docs.google.com/spreadsheets/d/11ANlH1S_aYJOyz4TtG0HHgz0OLxnOvXLHMt4FVOS85Q/edit#gid=0To learn more or contact us please visit: https://good-lands.org/

"The map of Allotment 9, 9A, Section 79, Forbes Street. Roman Catholic Church. This map is georeferenced by CeRDI using a projective transformation ( linear rotation and translation of coordinates: scale 1:25000). More Information: www.access.prov.vic.gov.au, www.landata.vic.gov.au Author: City of Ballarat Owner: Department of Environment, Land, Water & Planning"