A comparative analysis of gridding systems for point-based land cover/use analysis

Shoman, Wasim; Algancı, Uğur; Demirel, Hande

doi:10.1080/10106049.2018.1450449

Cited by 17 publications

(11 citation statements)

References 17 publications

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“…This effect is known as the modifiable areal unit problem (MAUP) and was proven to impact accessibility metrics (Pereira et al., 2019). To check the robustness of our results, therefore, we adopted regular hexagonal grids (Shoman et al., 2018) measuring 500, 1000, 2500, and 5000 meters. Using satellite imagery (Souza et al, 2020), we first corrected the census data to correspond to areas of urban occupation and then redistributed the data to the regular grid using dasymetric mapping.…”

Section: Urban Data and Methodsmentioning

confidence: 99%

Cumulative (and self-reinforcing) spatial inequalities: Interactions between accessibility and segregation in four Brazilian metropolises

Bittencourt

Giannotti

Marques

2020

Environment and Planning B: Urban Analytics and City Science

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The inequalities that mark global society have been deepening worldwide. They materialize in cities, putting pressure on public transport systems for spatial and temporal supply, at the same time as mobility itself generates multifaceted inequalities. From empirical evidence of four socially and spatially distinct Brazilian cities — São Paulo, Rio de Janeiro, Curitiba, and Fortaleza — we explore how differences in scale, geography, class, and race are related to spatial segregation, leading to different levels of access to jobs by public transport in the global peripheral context. These juxtaposed and combined inequalities create highly unfair and strongly cumulative effects on some social groups, contributing to the reproduction of inequality. Based on public and open data and combining methodologies of spatial analysis to enhance comparability and reproducibility, we explore different areal units, time thresholds, and metrics in order to examine transport inequalities in different urban contexts and refine our results. Upper classes have higher accessibility than lower classes, whites have higher accessibility than blacks, and large cities are more unequal than smaller ones. However, racial inequalities combine and overlap with class and city inequalities, changing these dichotomic notions when multiple dimensions are considered. The groups that polarize social hierarchy also polarize the urban space, since the white upper class and the black lower class are more segregated, but the way segregation interacts with accessibility is not straightforward and varies according to the socio-spatial structure.

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Section: Urban Data and Methodsmentioning

confidence: 99%

Cumulative (and self-reinforcing) spatial inequalities: Interactions between accessibility and segregation in four Brazilian metropolises

Bittencourt

Giannotti

Marques

2020

Environment and Planning B: Urban Analytics and City Science

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“…Grid‐cell processing was used in this study to investigate whether the patterns of forest clearance and correlations between changes in land‐cover classes were scale dependent. The grid‐cell approach represents a good compromise between necessary detail and computational feasibility (Bagan & Yamagata, 2012; Shoman, Alganci, & Demirel, 2019). For unbiased spatiotemporal analysis and to find particular spatial characteristics related to deforestation and forest fragmentation between two dates, we created nets of grid cells at scales of 150 × 150 m, 300 × 300 m, 600 × 600 m, and 900 × 900 m covering the entire study area.…”

Section: Methodsmentioning

confidence: 99%

Spatiotemporal analysis of deforestation in the Chapare region of Bolivia using LANDSAT images

et al. 2020

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The purpose of this study is to quantify (a) spatiotemporal deforestation patterns, and (b) the relationships between changes in the main land-cover types in the Chapare region of Bolivia. We applied subspace classification methods to LANDSAT data from 1986, 1999, and 2018 and used grid cells at scales of 150, 300, 600, and 900 m to measure deforestation trajectories. The 150 m grids provided better detail to determine deforestation trajectories than coarser-scale grid cells. Differences in grid-cell scale did not influence the statistical trends in land-cover changes significantly. Changes in forest area were negatively correlated with changes in cropland (r = −.44), grassland (r = −.34), swamp grassland (r = −.38), and regrowth (r = −.32) areas. Correlations between forest losses in cropland, grassland, and regrowth change analyses were

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“…The basic grid shapes commonly used in grid analysis include quadrilateral grid, hexagon grid, and triangle grid, etc. Hexagon mesh can reduce the sample deviation due to the boundary effect of the mesh shape [60]. Since hexagons have the same distance from the center of mass in all six directions, neighborhood analysis can yield more realistic results [61].…”

Section: Calculation Of Carbon Storagementioning

confidence: 99%

How to Account for Changes in Carbon Storage from Coal Mining and Reclamation in Eastern China? Taking Yanzhou Coalfield as an Example to Simulate and Estimate

Han

Mao

et al. 2022

Remote Sensing

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Carbon sequestration in terrestrial ecosystems plays an essential role in coping with global climate change and achieving regional carbon neutrality. In mining areas with high groundwater levels in eastern China, underground coal mining has caused severe damage to surface ecology. It is of practical significance to evaluate and predict the positive and negative effects of coal mining and land reclamation on carbon pools. This study set up three scenarios for the development of the Yanzhou coalfield (YZC) in 2030, including: (1) no mining activities (NMA); (2) no reclamation after mining (NRM); (3) mining and reclamation (MR). The probability integral model (PIM) was used to predict the subsidence caused by mining in YZC in 2030, and land use and land cover (LULC) of 2010 and 2020 were interpreted by remote sensing images. Based on the classification of land damage, the LULC of different scenarios in the future was simulated by integrating various social and natural factors. Under different scenarios, the InVEST model evaluated carbon storage and its temporal and spatial distribution characteristics. The results indicated that: (1) By 2030, YZC would have 4341.13 ha of land disturbed by coal mining activities. (2) Carbon storage in the NRM scenario would be 37,647.11 Mg lower than that in the NMA scenario, while carbon storage in the MR scenario would be 18,151.03 Mg higher than that in the NRM scenario. Significantly, the Nantun mine would reduce carbon sequestration loss by 72.29% due to reclamation measures. (3) Carbon storage has a significant positive spatial correlation, and coal mining would lead to the fragmentation of the carbon sink. The method of accounting for and predicting carbon storage proposed in this study can provide data support for mining and reclamation planning of coal mine enterprises and carbon-neutral planning of government departments.

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A comparative analysis of gridding systems for point-based land cover/use analysis

Cited by 17 publications

References 17 publications

Cumulative (and self-reinforcing) spatial inequalities: Interactions between accessibility and segregation in four Brazilian metropolises

Cumulative (and self-reinforcing) spatial inequalities: Interactions between accessibility and segregation in four Brazilian metropolises

Spatiotemporal analysis of deforestation in the Chapare region of Bolivia using LANDSAT images

How to Account for Changes in Carbon Storage from Coal Mining and Reclamation in Eastern China? Taking Yanzhou Coalfield as an Example to Simulate and Estimate

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