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Articles

An interactive platform for the analysis of landscape patterns: a cloud-based parallel approach

, ORCID Icon & ORCID Icon
Pages 99-111 | Received 31 Dec 2017, Accepted 29 Mar 2019, Published online: 14 May 2019

Figures & data

Figure 1. Overall landscape analysis framework.

Figure 1. Overall landscape analysis framework.

Table 1. Landscape metrics used in the study.

Table 2. Result of principal component analysis.

Figure 2. Metric calculation example of patch density.

Figure 2. Metric calculation example of patch density.

Figure 3. Overview of spatial data view panel.

Figure 3. Overview of spatial data view panel.

Figure 4. Identifying region of interest through scatterplot (the first metric is PD and the second metric is AI.

Figure 4. Identifying region of interest through scatterplot (the first metric is PD and the second metric is AI.

Figure 5. Temporal change detection panel (an example for metric CA for urban land cover type).

Figure 5. Temporal change detection panel (an example for metric CA for urban land cover type).

Figure 6. Data fusion panel. The example illustrates the relationship between economic change and urban metrics (CA, AI and Cohesion).

Figure 6. Data fusion panel. The example illustrates the relationship between economic change and urban metrics (CA, AI and Cohesion).

Figure 7. Data fusion panel (an example of exploring the relationship between population change and landscape metrics).

Figure 7. Data fusion panel (an example of exploring the relationship between population change and landscape metrics).

Table 3. Regions of interest based on urban CA metric.