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Layer: IA_physiography-regions-2026 (ID: 0)

View In:   ArcGIS Online Map Viewer

Name: IA_physiography-regions-2026

Display Field: region

Type: Feature Layer

Geometry Type: esriGeometryPolygon

Description: The Geospatial Laboratory for Soil Informatics at Iowa State University created this spatial dataset, combining science and art to provide a unified perspective on the landscape, integrating geology, landforms, soil, water systems, and vegetation. To create the Physiographic Regions Map of Iowa, multiple lines of evidence were synthesized to delineate areas with similar landforms, geologic histories, soil characteristics, and hydrologic patterns. However, delineations were first created by evaluating patterns observed in terrain derivatives calculated from LiDAR-based elevation data (IDNR, 2020). Interpretation of those areas was then made in consideration of a compilation of foundational maps - including the Outline Map of the Drift Sheets of Iowa (Calvin, 1904), Soils of Iowa (Brown, 1936), Principal Soil Associations (Simonson et al., 1952), Principal Soil Association Areas of Iowa (1965), Quaternary Geology of Iowa (Ruhe, 1969), Principal Soil-Association Areas of Iowa (Fenton et al., 1971), Landform Regions of Iowa (Prior, 1976), Iowa Soil Association Map (Iowa Agriculture and Home Economics Experiment Station, 1978), Highway Guide of Iowa Soil Associations ((Iowa Department of Agriculture and Land Stewardship et al., 2012), and Landform Regions of Iowa (Iowa Geological Survey, 2017). Newer maps carried the most weight.Terrain derivatives, including slope gradient, profile curvature, and relative elevation, were computed from the LiDAR-derived digital elevation model (DEM) and integrated with a digital hillslope position classification (Miller and Schaetzl, 2015). Areas within Iowa’s state boundary (IDNR, 2020) exhibiting similar topographic patterns were delineated and correlated with existing soil and landform knowledge. These subregions were grouped into regions by similarity. The naming of subregions utilized established nomenclature, first, and then referenced representative towns. Descriptive terms were added to subregion names based on relative relief.The delineated regions were evaluated for differentiation of soil properties and hydrologic behavior. Spatial statistics were applied to summarize data from existing soils (NCSS, 2025), stream networks (IDNR, 2024), and land cover maps (USDA-NASS, 2024).

Service Item Id: 3953d016794b4d7093d60be4bd7ce4d8

Copyright Text: Authors: Bradley A. Miller (Associate Professor, Iowa State University) and C. Lee Burras (Morrill Professor, Iowa State University) The Department of Agronomy at Iowa State University supplied the funding needed to create this map.

Default Visibility: true

MaxRecordCount: 2000

Supported Query Formats: JSON, geoJSON, PBF

Min Scale: 0

Max Scale: 0

Supports Advanced Queries: true

Supports Statistics: true

Can Scale Symbols: false

Use Standardized Queries: true

Supports ValidateSQL: true

Supports Calculate: true

Extent:
Drawing Info: Advanced Query Capabilities:
HasZ: false

HasM: false

Has Attachments: false

HTML Popup Type: esriServerHTMLPopupTypeAsHTMLText

Type ID Field: region

Fields: Types:
Capabilities: Query

Sync Can Return Changes: true

Is Data Versioned: false

Supports Rollback On Failure: true

Supports ApplyEdits With Global Ids: false

Supports ApplyEdits By Upload Id: true

Supports Query With Historic Moment: false

Supports Coordinates Quantization: true

Child Resources:   Field Groups   Contingent Values

Supported Operations:   Query   Query Attachments   Query Analytic   Query Top Features   Query Bins   Append   Validate SQL   Generate Renderer   Return Updates   Metadata   Update Metadata