SLEUTH model

The name SLEUTH was derived from the simple image input requirements of the models: Slope, Land cover, Exclusion, Urbanization, Transportation, and Hillshade.

Urban GrowthLand CoverCellular Automaton

true

Contributor(s)

Initial contribute: 2019-07-17

Authorship

:  
University of California, Santa Barbara, Department of Geography
:  
View
Is authorship not correct? Feed back

Classification(s)

Application-focused categoriesHuman-perspectiveDevelopment activities

Detailed Description

English {{currentDetailLanguage}} English

Quoted from: https://doi.org/10.1371/journal.pone.0224998  Yunqiang Liu,Long Li ,Longqian Chen,Liang Cheng,Xisheng Zhou,Yifan Cui,Han Li,Weiqiang Liu. 2019. Urban growth simulation in different scenarios using the SLEUTH model: A case study of Hefei, East China. Plos One.

 

The SLEUTH model consists of two sub-models: the urban growth model (UGM), which can be run independently, and land cover deltatron model (LCD) []. The SLEUTH model requires a minimum of four periods of city-wide layers, two periods of transportation layers, slope layers, hill- shade layers, and exclusion layers []. Based on grid cells, the SLEUTH model assigns the attributes of the city or non-city to each cell and simulates urban growth by four conversion rules—spontaneous growth, new spreading center growth, edge growth, and road-influenced growth []. Spontaneous growth defines the occurrence of random urbanization of land, i.e., randomly selected non-urbanized cells may be transformed into urbanized cells when slope conditions are appropriate. An urban spreading center is defined as a location with three or more adjacent urbanized cells. New spreading center growth determines whether any of the new, spontaneously urbanized cells would become new urban spreading centers. Edge growth defines the growth of an existing spreading center, which simulates the urban's fill-in growth and the expansion of boundaries [,]. Road-influenced growth encourages urbanized cells to develop along road network, which simulates the impact of existing transportation infrastructure on urban growth. The mentioned four urban growth rules are performed sequentially in each growth cycle and are controlled by five growth coefficients [], namely dispersion coefficient, breed coefficient, spread coefficient, road gravity coefficient, and slope coefficient. The relationship between the four growth rules and the five coefficients is shown in Table 1.

Table 1

Relationship between growth rules and model coefficient in the SLEUTH model.
Growth rules Model coefficients Rule description
Spontaneous growth Dispersion, slope Random conversion of non-urban cell to urban cell
New spreading center growth Breed, slope Urban cell from spontaneous growth become new spreading centers
Edge growth Spread, slope Spreading center edge expansion
Road influenced growth Breed, road-gravity, dispersion, slope The attraction of traffic roads to urbanization

The execution of the SLEUTH model is divided into four major steps (Fig 2): input data preparation, model calibration, model prediction, and model output []. Three urban growth scenarios were planned by changing the exclusion layer, and both the calibration and prediction of the three scenarios were performed independently. We used the SLEUTH 3.0 beta_p01 module (http://www.ncgia.ucsb.edu/projects/gig/) and completed the model compilation and operation with the help of the software of Cygwin.

 
An external file that holds a picture, illustration, etc.
Object name is pone.0224998.g002.jpg
Technical flowchart of the study.

模型元数据

{{htmlJSON.HowtoCite}}

Keith C. Clarke (2019). SLEUTH model, Model Item, OpenGMS, https://geomodeling.njnu.edu.cn/modelItem/59c68e21-fa5c-467d-8ef9-7de5f1191868
{{htmlJSON.Copy}}

Contributor(s)

Initial contribute : 2019-07-17

{{htmlJSON.CoContributor}}

Authorship

:  
University of California, Santa Barbara, Department of Geography
:  
View
Is authorship not correct? Feed back

QR Code

×

{{curRelation.overview}}
{{curRelation.author.join('; ')}}
{{curRelation.journal}}









{{htmlJSON.RelatedItems}}

{{htmlJSON.LinkResourceFromRepositoryOrCreate}}{{htmlJSON.create}}.

Drop the file here, orclick to upload.
Select From My Space
+ add

{{htmlJSON.authorshipSubmitted}}

Cancel Submit
{{htmlJSON.Cancel}} {{htmlJSON.Submit}}
{{htmlJSON.Localizations}} + {{htmlJSON.Add}}
{{ item.label }} {{ item.value }}
{{htmlJSON.ModelName}}:
{{htmlJSON.Cancel}} {{htmlJSON.Submit}}
名称 别名 {{tag}} +
系列名 版本号 目的 修改内容 创建/修改日期 作者
摘要 详细描述
{{tag}} + 添加关键字
* 时间参考系
* 空间参考系类型 * 空间参考系名称

起始日期 终止日期 进展 开发者
* 是否开源 * 访问方式 * 使用方式 开源协议 * 传输方式 * 获取地址 * 发布日期 * 发布者



编号 目的 修改内容 创建/修改日期 作者





时间分辨率 时间尺度 时间步长 时间范围 空间维度 格网类型 空间分辨率 空间尺度 空间范围
{{tag}} +
* 类型
图例


* 名称 * 描述
示例描述 * 名称 * 类型 * 值/链接 上传


{{htmlJSON.Cancel}} {{htmlJSON.Submit}}
Title Author Date Journal Volume(Issue) Pages Links Doi Operation
{{htmlJSON.Cancel}} {{htmlJSON.Submit}}
{{htmlJSON.Add}} {{htmlJSON.Cancel}}

{{articleUploading.title}}

Authors:  {{articleUploading.authors[0]}}, {{articleUploading.authors[1]}}, {{articleUploading.authors[2]}}, et al.

Journal:   {{articleUploading.journal}}

Date:   {{articleUploading.date}}

Page range:   {{articleUploading.pageRange}}

Link:   {{articleUploading.link}}

DOI:   {{articleUploading.doi}}

Yes, this is it Cancel

The article {{articleUploading.title}} has been uploaded yet.

OK
{{htmlJSON.Cancel}} {{htmlJSON.Confirm}}