scholarly journals Análise da vulnerabilidade socioambiental no município de Vitória-ES, com o apoio de um SIG livre / Analysis of socio-environmental vulnerability in the municipality of Vitória-ES, with the support of a free GIS

2018 ◽  
Vol 28 (55) ◽  
pp. 1076-1102 ◽  
Author(s):  
Helio Carreço ◽  
Aurélia Hermínia Castiglioni
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Low Income ◽  
Principal Component ◽  
Vulnerability Index ◽  
Geographic Information ◽  
Espírito Santo ◽  
Environmental Vulnerability ◽  
Espirito Santo ◽  
Gis Software

Este trabalho tem por objetivo analisar a vulnerabilidade socioambiental enfrentada pelas parcelas de baixa renda da população dos Bairros de Vitória-ES e demonstrar a relevância dos Sistemas de Informações Geográficas (SIG) como ferramenta de mensuração e representação destas situações. Para isso, será demonstrada a viabilidade da adoção de geotecnologias livres para a abordagem deste tema, por meio da análise de variáveis socioeconômicas, infraestruturais e do meio físico. O estudo fundamenta-se em dados produzidos pelo IBGE, pela Prefeitura Municipal de Vitória e pela Secretaria de Segurança Pública do Espírito Santo, relativos ao período de 2010 a 2015. A análise e redução de variáveis são feitas por meio de critérios objetivos utilizando a Análise de Componentes Principais (ACP). As variáveis analisadas mostraram alta correlação e os resultados foram utilizados para a construção do Índice de Vulnerabilidade Socioambiental. A partir dos valores do índice, os bairros foram espacializados por meio de um software livre de SIG, o que permitiu formar agrupamentos de unidades de análise que apresentam semelhanças quanto à vulnerabilidade socioambiental, sendo possível identificar uma notável disparidade entre os bairros de Vitória.Palavras-chave: Vulnerabilidade Socioambiental; Sistema de Informação Geográfica; Geotecnologias Livres.AbstractThis paper aims to analyze the Socio-Environmental Vulnerability faced by the low income portion of the population from Vitoria – ES and show the importance of the Geographic Information System (GIS) as a tool of measurement and representation of these situations. Thus, the feasibility of adopting free geotechnologies will be demonstrated in order to approach this theme by means of analyzing the socioeconomic, infrastructural as well as physical environment variables. The study is based on data produced by IBGE, City Hall of Vitoria and by Secretary of Public Security of Espirito Santo, related to the period from 2010 to 2015. The analysis and reduction of variables are made by means of objective criteria utilizing the Principal Component Analysis (PCA). The variables analyzed showed high correlation and the results were utilized for the construction of Socio-Environmental Vulnerability Index. From the values of the index, the neighborhoods were spatialized through a free GIS software which allowed forming groups of neighborhoods that present similarities regarding the Socio-Environmental Vulnerability. It was possible to identify a notable disparity among the neighborhoods of Vitoria.Keywords: Socio-environmental Vulnerability; Geographic Information System (GIS); Free Geotechnologies.

scholarly journals Geotecnologias aplicadas em área inundável: O caso de Brejo Grande, Serra-ES

GeoTextos ◽  
2011 ◽  
Vol 7 (1) ◽  
Author(s):  
André Luiz Nascentes Coelho ◽  
Giovanilton André Carretta Ferreira
Keyword(s):  
Remote Sensing ◽  
Information System ◽  
Geographic Information System ◽  
Present Article ◽  
Geographic Information ◽  
Espírito Santo ◽  
E Region ◽  
The Subject ◽  
Espirito Santo ◽  
The City

O presente artigo tem como objetivo principal apresentar uma proposta de análise integrada para a delimitação de área brejosa/pantanosa após um período de chuvas mensais excepcionais, empregando produtos e técnicas de Sensoriamento Remoto (SR) juntamente com o uso da ferramenta Sistema de Informações Geográficas (SIG). Os resultados do estudo foram satisfatórios, já que permitiram não apenas delimitar a área realmente inundável da Região de Brejo Grande, no município da Serra, Estado do Espírito Santo, mas também compreender a dinâmica operante das águas superficiais e reflexos nas adjacências, como na Baía de Vitória. Tal metodologia também possibilita a delimitação de outras áreas inundáveis no Estado e em regiões do Brasil, que apresentam as mesmas características ambientais, constituindo-se, assim, numa importante ferramenta no auxílio das tomadas de decisões e ordenamento do território. Abstract GEOTECHNOLOGIES APPLIED IN FLOODING AREA: THE CASE OF BREJO GRANDE, SERRA-ES, BRAZIL The present article has as objective of analysis integrated for the delimitation of slouch area after period of monthly concentrated rains using products and techniques of Remote Sensing together with the use of the Geographic Information System. The result of the study was presented satisfactory, therefore it allowed, not only, to delimit the subject to flooding area of the Region of Brejo Grande, in the city of the Serra, state of the Espirito Santo, Brazil, as well as to understand the operative dynamics of superficial waters in the e region consequences in the adjacencies as in the bay of Vitória. Such methodology also makes possible the delimitation of other subject to flooding areas in the state and regions of Brazil with the same characteristics, consisting in important information in the aid in the taking of decisions.

scholarly journals Comparative analysis of QGIS plugins for Web Maps creation

La Granja ◽  
2021 ◽  
Vol 34 (2) ◽  
pp. 8-26
Author(s):  
Lia Duarte ◽  
Catarina Queirós ◽  
Ana Cláudia Teodoro
Keyword(s):  
Information System ◽  
Comparative Analysis ◽  
Geographic Information System ◽  
Open Source ◽  
Open Source Software ◽  
Geographic Information ◽  
Geospatial Data ◽  
Advantages And Disadvantages ◽  
Gis Software

QGIS is a free and open-source software that allows viewing, editing, and analyzing georeferenced data. It is a Geographic Information System (GIS) software composed by tools that allow to manipulate geographic information and consequently to create maps which help to get a better understanding and organization of geospatial data. Unfortunately, maps created directly in the GIS desktop software are not automatically transferred to a website. This research aimed to compare publishing capabilities in different QGIS plugins to create Web Maps. This study analyzes four QGIS plugins (QGIS2Web, QGIS Cloud, GIS Cloud Publisher and Mappia Publisher), performing a comparison between them, considering their advantages and disadvantages, the free and subscription plans, the tools offered by each plugin and other generic aspects. The four plugins were tested in a specific case study to automatically obtain different Web Maps. This study could help users to choose the most adequate tools to publish Web Maps under QGIS software.

scholarly journals Seepage Velocity: Large Scale Mapping and the Evaluation of Two Different Aquifer Conditions (Silty Clayey and Sandy)

Hydrology ◽  
2020 ◽  
Vol 7 (3) ◽  
pp. 60
Author(s):  
Qais Al-Madhlom ◽  
Nadhir Al-Ansari ◽  
Bashar Abid Hamza ◽  
Jan Laue ◽  
Hussain Musa Hussain
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Large Scale ◽  
Geographic Information ◽  
Effective Porosity ◽  
Important Criterion ◽  
Seepage Velocity ◽  
The West ◽  
Gis Software ◽  
Saturated Thickness

Seepage velocity is a very important criterion in infrastructure construction. The planning of numerous large infrastructure projects requires the mapping of seepage velocity at a large scale. To date, however, no reliable approach exists to determine seepage velocity at such a scale. This paper presents a tool within ArcMap/Geographic Information System (GIS) software that can be used to map the seepage velocity at a large scale. The resultant maps include both direction and magnitude mapping of the seepage velocity. To verify the GIS tool, this study considered two types of aquifer conditions in two regions in Iraq: silty clayey (Babylon province) and sandy (Dibdibba in Karbala province). The results indicate that, for Babylon province, the groundwater flows from the northwest to southeast with a seepage velocity no more than 0.19 m/d; for the Dibdibba region, the groundwater flows from the west to the east with a seepage velocity not exceeding 0.27 m/d. The effectiveness of the presented tool in depicting the seepage velocity was thus demonstrated. The accuracy of the resultant maps depends on the resolution of the four essential maps (groundwater elevation head, effective porosity, saturated thickness, and transmissivity) and locations of wells that are used to collect the data.

scholarly journals Metodología para la zonificación agroclimática de la región de La Mojana mediante el sistema de información geográfica ARC/Info

1998 ◽  
Vol 2 (2) ◽  
pp. 19
Author(s):  
Carlos Terán ◽  
Carlos Jimenez ◽  
Carlos González ◽  
Edgar Villaneda
Keyword(s):  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Information System ◽  
Geographic Information System ◽  
Temporal Variation ◽  
Principal Component ◽  
Geographic Information ◽  
Inverse System ◽  
Weighted Interpolation ◽  
El Sistema

<p>El estudio desarrolló una metodología objetiva de zonificación agroclimática mediante el uso del sistema de información geográfica (SIG) ARC/Info<sup>®</sup>. Se consideró la variación espacio-temporal de los elementos climáticos y espaciales del suelo y la vegetación pre­valecientes en la región de La Mojana (Colombia), para lo cual se empleó la información de 30 estaciones pluviométricas, una estación pluviográfica y 13 estaciones climáticas; para el procesa miento de los datos se combinaron técnicas de agrupamiento estadístico-matemáticas (análisis de Cluster y de Componentes Principales). Toda la información se desplegó en el sistema de información geográfica ARC/Info<sup>®</sup>, con celdas de 250 x 250 m<sup>2</sup> (6.25 ha), y se interpoló mediante el algoritmo denominado "distancia inversa ponderada" propuesto por Watson y Philip en 1985. La zonificación se efectuó teniendo en cuenta los excesos de precipitación derivados del balance hídrico y que se producen durante el período de lluvias; estos excesos se presentaron en las décadas 12 a 33. Con base en dos mapas, se creó una matriz geográfica en donde cada mapa representa la variación espacial de los excesos de precipitación en una década. A esta matriz se aplicó la técnica de Análisis de Componentes Principales (ACP), escogiéndose aquellos que presentaron la mayor variabilidad. Después, se aplicó el Análisis de Cluster usando el método de isocluster, para producir la zonificación final.</p><p> </p><p><strong>Methodology for agroclimatic classification at La Mojana Region in Colombia with the Geographic Information System ARC/Info</strong></p><p>A methodology for agroclimatic classification was developed in La Mojana region of Colombia using the Geographic lnformation System ARC/lnfo. Data considering the temporal variation of dimate at different locations, as well as temporal changes in soils and cover vegetation of La Mojana were used for this purpose. Processing of data was performed using both, Cluster Analysis and the principal component analysis (PCA). The information collected was incorporated into the ARC/Info program, by means of the algorithm named "inverse system weighted interpolation". Based on two leading maps which describe 87.2% of the variation in precipitation during two decades, a geographic matrix was developed applying the PCA technique, and selecting those components which exhibited the greatest variability. The final classification for the most representative regions of La Mojana was performed using Cluster Analysis.</p><p> </p>

scholarly journals The Spatial Differences of Employment between the Settlements of Harghita County

2019 ◽  
Vol 15 (1) ◽  
pp. 65-82
Author(s):  
Szilárd Madaras
Keyword(s):  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Information System ◽  
Geographic Information System ◽  
System Analysis ◽  
Principal Component ◽  
Geographic Information ◽  
Spatial Differences ◽  
Geographic Information System Analysis ◽  
Spearman’S Correlation

Abstract This paper contains the analysis of employment in the settlements of Harghita County, using the GIS (Geographic Information System) analysis, Spearman’s correlation, principal component analysis, and the cluster analysis methods. Based on the database of a set of indicators which describe the demographic, employment, and enterprise dimensions, remarkable spatial differences were observed between the settlements. The principal objectives of the county development plan regarding the employment were analysed, and a discussion took place on the possibilities of employment development in Harghita County.

scholarly journals Estimate of Erosion and Sedimentation in Semi-arid Basin using Empirical Models of Erosion Potential within a Geographic Information System

2010 ◽  
Vol 3 ◽  
pp. ASWR.S3427 ◽  
Author(s):  
Fazel Amiri
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Geographic Information ◽  
Class Iii ◽  
Uniform Sampling ◽  
Final Layer ◽  
Land Use Types ◽  
Significant Difference ◽  
High Sedimentation ◽  
Gis Software

This research is aimed at predicting erosion and sedimentation in the Ghareh Aghach Basin in the central part of Iran using Erosion Potential Model (EPM) models incorporated into Geographic Information System (GIS) software. This basin has an area of about 8955 hectares. The region has a range of vegetation, geological, soil texture and land use types. The basin was subdivided into 5 sub-basins. Data required for this study were collected in part through published reports, whilst the remaining was derived by field surveys. Necessary maps in EPM models were prepared in Autocad-2006 medium and were transported to IILWIS, after some revision. After constructing topologies for all polygons, we entered weightings for all layers within the Arc-View software. Combinations of all layers were managed thereafter. Coefficient of each factor was determined, and erosion intensity coefficient (Z) was calculated. Four layers for EPM model were combined to develop the final layer of erosion and sedimentation. The results of the EPM model for homogenous and uniform sampling units showed that 0.19% (16.7 ha) of the total watershed area were classified as class I of erosion category with very low sedimentation and 15.1% (1352 ha) were classified as class II of erosion category with low sedimentation and 41.3% (3699 ha) were classified as class III of erosion category with medium sedimentation and 13.2% (1175 ha) were classified as class IV of erosion category with high sedimentation and finally 30.2% (2711 ha) were classified at class V of erosion category with very high sedimentation, respectively. The result of comparing erosion and sediment values using an EPM model with measured values showed that no significant difference was observed between the estimated and measured values ( P < 0.05).

scholarly journals Regional Terrain Complexity Assessment Based on Principal Component Analysis and Geographic Information System: A Case of Jiangxi Province, China

2020 ◽  
Vol 9 (9) ◽  
pp. 539
Author(s):  
Faming Huang ◽  
Jianbo Yang ◽  
Biao Zhang ◽  
Yijing Li ◽  
Jinsong Huang ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Information System ◽  
Geographic Information System ◽  
Principal Component ◽  
Component Analysis ◽  
Geographic Information ◽  
Jiangxi Province ◽  
Topographic Map ◽  
Pca Method ◽  
Complexity Assessment

Regional terrain complexity assessment (TCA) is an important theoretical foundation for geological feature identification, hydrological information extraction and land resources utilization. However, the previous TCA models have many disadvantages; for example, comprehensive consideration and redundancy information analysis of terrain factors is lacking, and the terrain complexity index is difficult to quantify. To overcome these drawbacks, a TCA model based on principal component analysis (PCA) and a geographic information system (GIS) is proposed. Taking Jiangxi province of China as an example, firstly, ten terrain factors are extracted using a digital elevation model (DEM) in GIS software. Secondly, PCA is used to analyze the information redundancy of these terrain factors and deal with data compression. Then, the comprehensive evaluation of the compressed terrain factors is conducted to obtain quantitative terrain complexity indexes and a terrain complexity map (TCM). Finally, the TCM produced by the PCA method is compared with those produced by the slope-only, the variation coefficient and K-means clustering models based on the topographic map drawn by the Bureau of Land and Resources of Jiangxi province. Meanwhile, the TCM is also verified by the actual three-dimensional aerial images. Results show that the correlation coefficients between the TCMs produced by the PCA, slope-only, variable coefficient and K-means clustering models and the local topographic map are 0.894, 0.763, 0.816 and 0.788, respectively. It is concluded that the TCM of the PCA method matches well with the actual field terrain features, and the PCA method can reflect the regional terrain complexity characteristics more comprehensively and accurately when compared to the other three methods.

Differences in Visual Programming for GIS

2014 ◽  
Vol 519-520 ◽  
pp. 355-358
Author(s):  
Zdena Dobesova ◽  
Petr Dobes
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Visual Programming ◽  
Geographic Information ◽  
Visual Languages ◽  
Daily Work ◽  
Graphical Notations ◽  
Flow Diagrams ◽  
Suitable Area ◽  
Gis Software

ArcGIS and AutoCAD Map 3D are both geographic information system (GIS) software. Both are used worldwide in many countries and companies. The dataflow design in visual editors is suitable for daily work. Visual languages are valuable for wide user community. Dataflow design automatizes typical GIS tasks and makes the processes universal. It is possible to construct simple or complex workflows with a visual editor in both software. The concept of visual programming is highly acceptable for GIS users because they think spatially and graphically. The article presented practical example for automatic finding of suitable area for construction of new hotel. Two data flow diagrams for the same task demonstrate the differences between graphical notations in ArcGIS and AutoCAD Map.

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