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Authors: Enjie Li
Owners: iUTAH Data Manager · Enjie Li
Resource type:Generic
Created:July 23, 2016, 2:36 p.m.
Last updated: Feb. 1, 2017, 5:37 a.m. by iUTAH Data Manager

Abstract

The most traditional way to examine land use change is to use a cross-tabulation matrix to identify the most important categorical land use transition from time 1 to time 2. However, such method does not necessarily capture or indicate the real changes on the landscape. For example, assuming that from 1986 to 2015, Utah’s total agricultural land loss (aka, net change) is 200 square miles, but this does not mean that only 200 square miles of agricultural land have experienced land use change in the last 30 years. It is highly possible that a given quantity of agricultural land loss at one location can be accompanied by another quantity of agricultural land gain at another location (aka, swapping). Thus, by purely using net change, we might fail to capture the swapping component of change, and fail to capture the intricate transitions of landscape. This dataset analyzed important categorical land use change while account for persistence and swaps. It provides additional information concerning what happened on the landscape.

This dataset includes a statistical table and a GIS raster file. The table summarizes the persistence and swaps, as well as gross gain and gross loss in the Wasatch Range Metropolitan Area (WRMA). The GIS file is the compiled spatial layer that represents the gain, loss, persistence, and swaps on the landscape. We used Water Related Land Use data of Year 1986 to Year 2015 for this analysis. Land use categories used in this dataset include urban (URB), irrigated agricultural land (IR), and non-irrigated agricultural land (NI), sub-irrigated agricultural land (SubIR), riparian (RIP), water, (WATER), and other (OTHER). We then examined the categorical land use changes with a transition matrix.

A categorical land use gain is determined as the conversion from other sources to this particular categorical land use, and a categorical land use loss is defined as conversion from this particular categorical land use to other uses. For example, the gain of irrigated agricultural (IR) land use will be the sum of areas of urban to IR, non-irrigated agricultural land to IR, sub-irrigated agricultural land to IR, riparian to IR, water to IR, and other to IR. The total change is calculated as the sum of gain and loss. The net change equals to |Gain|-|Loss|. The Swap =2* MIN(Gain,Loss).

Subject

land use change,land use,iUTAH,WRMA,history

How to cite

Li, E. (2017). Swaps and Persistence of WRMA's 30 years' Land Use Changes, HydroShare, http://www.hydroshare.org/resource/190c1a3f34d54064a0ceecff7d2db4ea

This resource is shared under the Creative Commons Attribution CC BY.

 http://creativecommons.org/licenses/by/4.0/
CC-BY

Sharing status:

  • Public Resource  Public
  • Sharable Resource  Shareable

Coverage

Spatial:

 Coordinate System/Geographic Projection:  WGS 84 EPSG:4326
 Coordinate Units:  Decimal degrees
Place/Area Name: WRMA-Wasatch Range Metropolitan Area

North Latitude
42.2204°
East Longitude
-111.3300°
South Latitude
39.9350°
West Longitude
-112.4725°

Temporal:

 Start Date:
 End Date:

Content

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Authors

The people or organizations that created the intellectual content of the resource.

Name Organization Address Phone
Enjie Li

Contributors

People or organizations that contributed technically, materially, financially, or provided general support for the creation of the resource's content but are not considered authors.

Name Organization Address Phone
Shujuan Li Utah State University
Joanna Endter-Wada Dept. of Environmental & Society, Utah State University
Name Value
Data Collection Method We used Water Related Land Use data of Year 1986 to Year 2015 for this analysis. Land use categories used in this dataset include urban (URB), irrigated agricultural land (IR), and non-irrigated agricultural land (NI), sub-irrigated agricultural land (SubIR), riparian (RIP), water, (WATER), and other (OTHER). We then examined the categorical land use changes with a transition matrix.
Variable Description Land use categories

Credits

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
National Science Foundation iUTAH-innovative Urban Transitions and Aridregion Hydro-sustainability 1208732

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