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Articles

Mapping the physiography of Michigan with GIS

, , , , , , , , & show all
Pages 2-39 | Published online: 14 Apr 2013
 

Abstract

We present a new physiographic map of Michigan, that is also available interactively, online. Only four, small-scale physiographic maps of Michigan had been previously published. Our mapping project made use of a wide variety of spatial data, in a GIS environment, to visualize and delineate the physical landscape in more detail than has been done previously. We also examined many of the unit boundaries in the field, using a GIS running on a GPS-enabled laptop. Unlike previous physiographic maps, the online version of the map enables users to query the criteria used to define each of the 224 boundaries of its 10 major and 91 minor physiographic units. The interactive nature of the online version of the map is a unique enhancement to physiographic maps and mapping. Our study also provides data on the number and types of criteria used to define each of the 224 unit boundaries within the map. Most of our unit boundaries are based on data derived from 10-m raster elevation data and NRCS soils data, e.g., relief, soil wetness, escarpments, landscape fabric, and parent material characteristics. Data gleaned from NRCS SSURGO county-scale soil maps were a strength of the project. [Key words: Michigan, physiography, landforms, soils, GIS, mapping]

Acknowledgements

We acknowledge the support of this work by the Department of Geography at MSU. Parts of this work were indirectly a result of National Science Foundation, Geography and Spatial Sciences Program, grants BCS-0422108 and BCS-0851108, made to RJS. Many of our data were kindly provided by the personnel at Remote Sensing and Geographic Information Science Research and Outreach Services, MSU. Abby Norton assisted with earlier drafts of this paper. We thank the anonymous reviewer, and Physical Geography Editor Harden, for their help with the paper and their belief in this project and its contribution to mapping science.

Notes

Supplemental data is published alongside this article at http://dx.doi.org/10.1080/02723646.2013.778531

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