Mapping socio-spatial segregation in the city of Marília/SP (Brazil)

Araujo, Agnes Silva de; Filho, Alfredo Pereira de Queiroz

doi:10.26848/rbgf.v11.2.p431-441

Cited by 2 publications

(2 citation statements)

References 19 publications

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“…To calculate the susceptibility of a given area to occurrences, the informative value method was adopted. That method is usually used for analyzing the susceptibility of a territory to landslides [45,46] but also to fire [47] and other types of risk, including nonenvironmental [48]. The raster layer zonal statistics tool, used in the analysis mentioned in the previous paragraph, creates a table that relates the different classes of the reclassified variable (returned as "zone") to statistics regarding the area with occurrences within such class, namely "count" (number of pixels belonging to the class) and "sum" (sum of the pixel values in the class).…”

Section: Main Scriptmentioning

confidence: 99%

A GIS Plugin for Susceptibility Modeling: Case Study of Wildfires in Vila Nova de Foz Côa

Padrão¹,

Duarte

Teodoro

2022

Land

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Risk mapping is a crucial part of spatial planning, as it optimizes the allocation of resources in its management. It is, therefore, of great interest to build tools that enhance its production. This work focuses on the implementation of a susceptibility model for different types of spatially distributed risk in a geographic information systems (GIS) Python plugin. As an example, the susceptibility model was applied to study the occurrence of wildfires in the municipality of Vila Nova de Foz Côa, Portugal. The plugin was developed to simplify the production and evaluation of susceptibility maps regarding the available geographical information. Regarding our case study, the data used corresponds to three training areas, ten years of burned areas and nine environmental variables. The model is applied to different combinations of these factors. The validation, performed with receiver operating characteristic (ROC) curves, resulted in an area under the curve (AUC) of 74% for a fire susceptibility model, calculated with the same environmental factors used in official Portuguese cartography (land use and slope) and with the optimal training area, years of information on burned area and level of land use classification. After experimenting with four variable combinations, a maximum AUC of 77% was achieved. This study confirms the suitability of the variables chosen for the production of official fire susceptibility models but leaves out the comparison between the official methodology and the methodology proposed in this work.

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Section: Main Scriptmentioning

confidence: 99%

A GIS Plugin for Susceptibility Modeling: Case Study of Wildfires in Vila Nova de Foz Côa

Padrão¹,

Duarte

Teodoro

2022

Land

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“…Private housing complexes have been built in these places with increased susceptibility to socio-spatial segregation. [51] The urbanization process is referred to as a risk factor for suicide. [52] Urbanization, combined with the replacement of human labor by machines, causes unemployment, which intensely affects young people's emotional health.…”

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confidence: 99%

Suicide Epidemic in a Medium-Sized City in Brazil Reveals Itself as a Youth Problem: A Survey

RUBATINO RODRIGUES,

Rodrigues,

Rubatino

et al. 2024

Preprint

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Contrary to what has been happening in most countries in the world, suicide mortality in Brazil has been increasing since 2016. To identify the epidemiological profile that may be associated with this increase in suicidal behavior in the population, we looked for a city with low rates of suicide mortality until 2016 and in which had a detectable growing epidemic wave in recent years to better elucidate the issue. This study aims to identify factors associated with suicidal ideation, suicidal planning, suicide attempts, and suicide.A validated questionnaire was used - Kaiser-Meyer-Olkin index (KMO) = .86 (acceptable greater than .7) and intraclass correlated coefficient (ICC) = .98 (acceptable greater than .9). Data collected was obtained by sampling for the convenience of the online questionnaire with a minimum sample of 400 respondents. The general population of Marília’s city, a medium-sized city in São Paulo state of Brazil, voluntarily responded to the questionnaire. Prevalence data was described in ratios and incidence was described in tables. The association was measured by factor analysis. The state government's data information platform (DataSUS) was consulted to verify the incidence of suicides from 2016 to 2023. The prevalence ratio of suicide attempts in people with mental disorders was 8.09%. There was a 600% increase in the incidence of suicide from 2016 to 2023 among young adults. Interpersonal problems were highly prevalent in people with suicidal ideation, suicidal planning, and suicide attempts. Heroism appears to be a suicidal equivalent and may be associated with most young deaths. Heroic behavior demonstrated a prevalence of 66.1% for committing tragic suicide. We get c2 of 31.4 for 18 degrees of freedom (p=0.026) of 10 representative variables in factor analysis with eight of the 10 variables demonstrating an association for one component. The young population has demonstrated epidemically growing suicide rates. Social segregation can affect young people's social lives and increase suicidal behavior.

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Mapping socio-spatial segregation in the city of Marília/SP (Brazil)

Cited by 2 publications

References 19 publications

A GIS Plugin for Susceptibility Modeling: Case Study of Wildfires in Vila Nova de Foz Côa

A GIS Plugin for Susceptibility Modeling: Case Study of Wildfires in Vila Nova de Foz Côa

Suicide Epidemic in a Medium-Sized City in Brazil Reveals Itself as a Youth Problem: A Survey

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