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Poster / Soc 397a / 2017 Poverty in Tucson Field Workshop

Poster / Soc 397a / 2017 Poverty in Tucson Field Workshop

Poster / Soc 397a / 2017 Poverty in Tucson Field Workshop

Poster / Soc 397a / 2017 Poverty in Tucson Field Workshop

Poster / Soc 397a / 2017 Poverty in Tucson Field Workshop

Poster / Soc 397a / 2017 Poverty in Tucson Field Workshop

Census of the feral pigeon (Columba livia f. domestica) population in the selected localities and flying through the corridor of the Radlické valley in Prague. The diploma thesis is dealing with the research of the number of the pigeons (Columba livia f. domestica) flying through the corridor of the Radlické údolí, with the exploration of the next pigeons' flying routes, with inventorying of the number of pigeons in the localities Smíchovské nádraží and Na Knížecí and with dependece of the number of pigeons on the abiotical conditions, season, day time and the time of the spring seeding and harvest. The food ecology of pigeons was also investigated within the process of inventorying in the locality Na Knížecí. The final chapter is focused on coloring of the individuals in the different Prague localities. The research was realised from July 2012 to November 2013. The folowing methods of research were used: observation, marking with the wing tapes, modified linear method of addition. The results of the diploma thesis indicate that number of pigeons in the observed localities change especially in the time of seeding and harvest. Numerical fluctuations are not so extreme because the group of the resident pigeons always stays in the city. The spectrum of the food offered by local inhabitants doesn't...

Geographic Information Systems (GIS) can assist in using information from census data to investigate questions for national and local government planning purposes, such as socio-economic profiles and needs of communities. I will be doing this on the data from the Ethiopian census, scheduled for 2006. . As no Ethiopian geo-referenced data is available at this stage. I am using the 10% sample of the South African Census 2001 data for KwaZulu-Natal (KZN), as a hypothetical population. KZN was chosen as this provides a setting with urban and rural populations, as well as mountainous and flat areas, and so is in some ways similar to Ethiopia. The questions to be asked of the Ethiopian census data are of the form: · What exists at a specific location or in a specific area? (eg what health facilities are there, what is the population)? · What access does the population have to facilities in the area? Does the road network need to be improved to resolve the problem of access · Where are groups of people in greatest need of … (eg where are there clusters of people with disabilities, and are there facilities for them) · What are the characteristics of ... (eg female headed households) and what are these related to (eg HIV/AIDS or migrant labour?) · What changes need to be made to infrastructure to increase service to communities in need? The results for the hypothetical population show that there are areas with high unemployment rates, low school attendance and education levels, high levels of female headed household, and difficulties of access to educational and health facilities. Many households do not have toilet facilities, and obtain water from rivers, which could impact on the health of the communities. Migrant workers were investigated to see if these were likely to be migrants from neighbouring countries, or from other provinces. The numbers in the hypothetical population in these cases are small, so little can be concluded from this.

A expansão dos centros urbanos, determinada pela demanda de áreas, está fortemente associada à vulnerabilidade da população. Este avanço, muitas vezes ocorre em direção a ambientes frágeis como margens de rios, encostas e mananciais. Desta maneira, as mudanças no ambiente, deflagradas pelas atividades antrópicas, têm contribuído fortemente para maior exposição da população e consequente impactos relacionados às inundações, em relação às inundações. Os mapeamentos de vulnerabilidade são medidas não estruturais muito importantes para avaliar as características de determinada população, que as tornam mais ou menos propensas aos impactos de uma inundação. Desta forma, o objetivo principal deste trabalho é propor uma metodologia, baseada na utilização de SIG, para mapeamento de vulnerabilidade à inundação a partir da integração de dados censitários e de outras fontes, usando como estudo de caso o município de Igrejinha, RS. Determinou-se- como unidade de estudo a mancha urbana presente em cada setor censitário do IBGE. Foram elaborados 10 indicadores distribuídos em 3 dimensões que buscaram avaliar aspectos demográficos, sociais e de infraestrutura e saneamento. Os dados utilizados são provenientes do IBGE e também de outras pesquisas realizadas no município por outros autores. Compreende-se nesta pesquisa que cada indicador possui uma importância diferente e atribui-se um peso especifico para cada indicador e dimensão pelo método Analytic Hierarchy Process (AHP). Os pesos foram atribuídos por especialistas da área e por agentes de Proteção e Defesa Civil. Os pesos foram atribuídos para duas fases distintas do gerenciamento de um desastre: resposta e recuperação. Através de ferramentas presente em SIG, foi utilizado o método dasimétrico para os dados à mancha urbana de cada setor censitário. Como resultado obteve-se um mapa de cada indicador e dimensão, bem como o mapa final de vulnerabilidade à inundação. Foram gerados mapas com pesos atribuídos para resposta e para recuperação. Em cada mapa gerado pode-se obter as áreas mais vulneráveis da área de estudo, que corresponderam as Zonas de Interesse Social de Igrejinha. Para observar certos aspectos que poderiam acarretar na vulnerabilidade, segundo o indicadores utilizados, foi empregada a ferramenta Google Street View. Devido ao seu baixo custo, bem como a facilidade da obtenção dos dados, a metodologia proposta pode ser replicada em qualquer município brasileiro. / The expansion of urban centers, determined by area demand, is strongly associated with the vulnerability of the population. This breakthrough often occurs toward fragile environments such as riverbanks, slopes and springs. In this way, environmental changes triggered by anthropic activitythe changes in the environment, triggered by the anthropic activities, have contributed strongly to greater exposure of the population and consequent flood impacts. Vulnerability mappings are very important non-structural measures to assess the characteristics of a given population, which make them more or less prone to the impacts of a flood. Along these lines, the main objective of this work is to propose a methodology, based on the use of GIS, to map vulnerability to flood, from the integration of census data and other sources, using as a case study, the municipality of Igrejinha, RS. The urban spot present in each IBGE census tract was used as the unit of study. Ten indicators were elaborated in three dimensions that sought to evaluate demographic, social, and infrastructure and sanitation aspects. The data used come from IBGE and also from other surveys conducted in the municipality by other authors. It is understood in this research that each indicator has a different importance and is assigned a specific weight for each indicator and dimension by the Analytic Hierarchy Process (AHP) method. The weights were assigned by specialists in the area and by Civil Protection and Defense agents to two distinct phases of disaster management: response and recovery. By means of tools present in GIS, the dasymetric method was used for the data to the urban spot of each census sector. As a result, a map of each indicator and size was obtained, as well as the final map of vulnerability to flooding. Maps with weights assigned for response and retrieval were generated. In each generated map, it is possible to observe the most vulnerable areas of the study area, which corresponded to the Igrejinha Social Interest Zones. In order to observe certain aspects that could lead to vulnerability, according to the indicators used, the Google Street View tool was used. Due to its low cost, as well as the ease of obtaining the data, the proposed methodology can be replicated in any Brazilian municipality.