Time-space modeling of irregular occupations around Brazilian highways, based on static grids: Case study of BR-408

Barros, Erison Rosa de Oliveira; Andrade, Maurício Oliveira de; Júnior, Fernando Lourenço de Souza

doi:10.1016/j.landusepol.2021.105971

Cited by 4 publications

(3 citation statements)

References 16 publications

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“…Para modelagem do mapa de potencial de mudança de classes (Barros et al, 2022) Em contrapartida, ocorreu um aumento de 14,77% das áreas ocupadas pela Agropecuária no mesmo período, o que demostra o avanço deste tipo de uso da terra em regiões de Floresta. Ainda avaliando o cenário das áreas ocupadas por áreas de Agropecuária, percebeu-se que o maior avanço ocorreu no período entre 2005 e 2015 (aumento de 4,81%), mesmo período que ocorreu as maiores perdas em áreas ocupadas por "Forest" (redução de 4,07%).…”

Section: áRea De Estudo E Obtenção Dos Cenários Mapbiomasunclassified

Dynamic modeling applied for the assessment of areas with agricultural activities in the Matopiba region/Brazil

De Oliveira,

Costa,

Baptista

et al. 2024

CLCS

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Matopiba region is considered the main agricultural frontier in Brazil currently, with the expansion of areas suitable for agricultural activities intensifying since the 2000s, causing changes in land use and land cover (LULC) in the region. This study aimed to analyze changes in LULC in the Matopiba region from 1985 to 2020 and identify the spatial dynamics that occurred with the expansion of agricultural activities. To assess the changes in LULC, scenarios obtained from the Mapbiomas database between 1985 and 2020 were used. The area was divided into pre-established classes by Mapbiomas, including the Agriculture class. The dynamic modeling of these scenarios allowed for the evaluation of losses and gains in LULC classes during the assessed period due to the expansion of agricultural activities. The 2020 scenario of the Matopiba region provided by Mapbiomas was used as a reference to assess the ability of the dynamic modeling used to estimate scenarios. The results demonstrate that areas designated for agricultural activities increased by 14.77% between 1985 and 2020, with the largest expansion observed in the period from 2005 to 2015 (4.81%). The scenario estimated by the dynamic model showed similarities to the reference scenario, demonstrating the ability of dynamic modeling to simulate and analyze the spatial dynamics of regions and estimate future scenarios.

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Section: áRea De Estudo E Obtenção Dos Cenários Mapbiomasunclassified

Dynamic modeling applied for the assessment of areas with agricultural activities in the Matopiba region/Brazil

De Oliveira,

Costa,

Baptista

et al. 2024

CLCS

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“…Nesse aspecto, com vistas a minimizar os riscos associados à ocupação irregular que resulta em processos antrópicos relacionados ao uso e à cobertura de solo, é preciso monitorar as áreas próximas às rodovias (Barros, Andrade e Souza Júnior, 2022). Sobretudo nas mesorregiões da região Norte, um elemento crucial, de acordo com Arvor et al (2021), é o acurado mapeamento do uso do solo na Amazônia com vistas à implementação de políticas ambientais.…”

Section: Ilaçõesunclassified

Texto para Discussão 2893

Freitas

2023

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A produção de alimentos permanece como um dos maiores desafios para a humanidade neste século, e o Brasil é um dos principais produtores de alimentos que ainda tem área para expansão agrícola técnica e economicamente viáveis. Assim, saber quais regiões constituem a fronteira agrícola brasileira é crucial para aprimorar políticas públicas e embasar decisões de infraestrutura logística privadas. Dados do Instituto Brasileiro de Geografia e Estatística (IBGE) de 1995 a 2020 foram utilizados neste estudo, cujo objetivo foi medir e mapear as áreas de expansão agrícola no Brasil naquele período, tomando-se em conta as safras permanentes no nível de mesorregiões. A metodologia é composta de quatro etapas e compreende a comparação dos resultados de dois métodos de clusters, permitindo-se identificar mesorregiões similares em termos de suas tendências participativas na área brasileira destinada à colheita (safras permanentes). Algumas mesorregiões devem ser destacadas com base nos valores tendenciais de suas parcelas na área de safras permanentes do Brasil, a saber: sul/sudoeste de Minas Gerais, Triângulo Mineiro/Alto Paranaíba, sudoeste paraense, Bauru, zona da mata, nordeste rio-grandense, são Francisco pernambucano e norte de Minas. Outras áreas – como litoral norte espírito-santense, vale são franciscano da Bahia, norte cearense, noroeste cearense, leste alagoano e sudeste paranaense – constituem um segundo grupamento líder, e oeste de Minas, nordeste paraense e vale do rio Doce devem ser realçadas como clusters por si mesmas. Ilações são discutidas e extensões de pesquisa são sugeridas, em especial a implementação de análises do tipo top-down no nível de microrregiões ou municípios, a partir das mesorregiões identificadas.

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“…In most of the previous studies, the risk status of the coastal area has been evaluated as a whole, rather than by gridding the waters. Nowadays, the development of Geographic Information System (GIS) grid technology provides a scientific method for the refined evaluation of safety [16][17][18][19]. In terms of waterway safety, Tang and Fan et al analyzed and predicted based on gridding, which provided a good idea for this study [20,21].…”

Section: Introductionmentioning

confidence: 99%

Research on Navigation Safety Evaluation of Coastal Waters Based on Dynamic Irregular Grid

Gao

Zhang

et al. 2022

JMSE

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Despite being a minor probability event, marine accidents can cause serious consequences such as casualties, environmental damage, and even massive economic losses. As an important part of the marine traffic safety system, the evaluation of navigation safety in coastal waters is of great significance to ensure the safety of ship navigation. In order to objectively evaluate the safety of navigation, this paper proposes an irregular grid division method that combines influencing factors including seabed topography, ship traffic flow, electronic charts, and marine meteorology. In this work, the navigable boundary was extracted by spatial analysis algorithms of the slope calculation. Based on the alpha-shape algorithm and the Voronoi diagram, the constrained Delaunay triangulation was used to extract the inner and outer boundaries of the ship′s navigation area, and the time-varying factors of marine hydrology and meteorology were integrated to form a dynamic irregular grid. The navigation safety evaluation indicators in coastal waters were divided into five risk levels, namely lower, low, medium, high, and higher. Then, the entropy weight theory was used to calculate the weight of the evaluation index. Finally, a safety evaluation model was constructed to evaluate the risk of navigation safety in coastal waters. Herein, taking the coastal waters of Lianyungang Port as a demonstration area, this paper divided the dynamic irregular grid and conducted the navigation safety analysis and evaluation based on the grid. The experimental results show that our method fully considers the influence of objective factors and the uncertainty of safety evaluation indicators and has favorable adaptability to the evaluation of navigation safety in coastal waters.

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Time-space modeling of irregular occupations around Brazilian highways, based on static grids: Case study of BR-408

Cited by 4 publications

References 16 publications

Dynamic modeling applied for the assessment of areas with agricultural activities in the Matopiba region/Brazil

Dynamic modeling applied for the assessment of areas with agricultural activities in the Matopiba region/Brazil

Texto para Discussão 2893

Research on Navigation Safety Evaluation of Coastal Waters Based on Dynamic Irregular Grid

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