2023
DOI: 10.4018/ijepr.319733
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GIS for Sustainable Urban Transformation in Countries With Emerging Economies

Abstract: In South America, the urban population has been growing rapidly over the last century, with a share of more than 80% expected by 2020. This trend has created new challenges for city planning because municipalities must address issues caused by horizontal urban expansion and the informal occupation of peripheral areas. Frequently, the latter are not designed or equipped for the basic needs of new inhabitants. This research is based on the work of MGI, an initiative for smart, sustainable development in Piura, a… Show more

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Cited by 1 publication
(3 citation statements)
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References 32 publications
(27 reference statements)
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“…meshedness(graph, radius=400, distance="mm_len") nodes, streets=momepy. nx_to_gdf(graph) fig, ax=plt.subplots(1, 3, figsize=(24, 12)) nodes.plot("degree", ax=ax[0], scheme="natural_breaks", legend=True, markersize=1) nodes.plot("closeness", ax=ax [1], scheme="natural_breaks", legend=True, markersize=1, legend_kwds={"fmt": "{:.6f}"}) nodes.plot("meshedness", ax=ax [2], scheme="natural_breaks", legend=True, markersize=1) ax[0]. set_axis_off () ax [1].…”
Section: Generating Relational Charactersmentioning
confidence: 99%
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“…meshedness(graph, radius=400, distance="mm_len") nodes, streets=momepy. nx_to_gdf(graph) fig, ax=plt.subplots(1, 3, figsize=(24, 12)) nodes.plot("degree", ax=ax[0], scheme="natural_breaks", legend=True, markersize=1) nodes.plot("closeness", ax=ax [1], scheme="natural_breaks", legend=True, markersize=1, legend_kwds={"fmt": "{:.6f}"}) nodes.plot("meshedness", ax=ax [2], scheme="natural_breaks", legend=True, markersize=1) ax[0]. set_axis_off () ax [1].…”
Section: Generating Relational Charactersmentioning
confidence: 99%
“…set_axis_off () ax [1]. set_axis_off () ax [2]. set_axis_off () (2) Measuring Density Calculate the density is a common practice in urban analytics.…”
Section: Generating Relational Charactersmentioning
confidence: 99%
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