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Research Article

Urban sprawl and its impact on sustainable urban development: a combination of remote sensing and social media data

, ORCID Icon, , ORCID Icon, ORCID Icon & ORCID Icon
Pages 241-255 | Received 19 May 2020, Accepted 21 Jun 2020, Published online: 28 Jul 2020

Figures & data

Figure 1. Spatial distribution of Twitter data in Morogoro urban municipality

Figure 1. Spatial distribution of Twitter data in Morogoro urban municipality

Figure 2. Overview of our research approach

Figure 2. Overview of our research approach

Figure 3. Overview of our research approach

Figure 3. Overview of our research approach

Figure 4. Kernel surface fitted

Figure 4. Kernel surface fitted

Table 1. Land cover n change in the Morogoro urban municipality and the impact on ecosystems services

Figure 5. Land cover distribution of Morogoro urban municipality

Figure 5. Land cover distribution of Morogoro urban municipality

Figure 6. Kernel distance value increasing of new user account and Tweets location for seven years

Figure 6. Kernel distance value increasing of new user account and Tweets location for seven years

Figure 7. A correlation between number of Twitter accounts and population in the area

Figure 7. A correlation between number of Twitter accounts and population in the area

Figure 8. Spatial distribution of urban land from 2011 to 2017, and Twitter data in 2011 and 2017

Figure 8. Spatial distribution of urban land from 2011 to 2017, and Twitter data in 2011 and 2017

Figure 9. Increased population from 2012 to 2017 in Morogoro

Figure 9. Increased population from 2012 to 2017 in Morogoro

Table 2. SDG Goal 11: Make cities and human settlements inclusive, safe, resilient and sustainable

Table 3. SDG Goal 15: Protect, restore and promote sustainable use of terrestrial ecosystems, sustainably manage forests, combat desertification, and halt and reverse land degradation and halt biodiversity loss