Análise de agrupamentos dos dados de DFA oriundos de perfis elétricos de indução de poços de petróleo

The main objective of this study is to apply recently developed methods of physical-statistic to time series analysis, particularly in electrical induction s profiles of oil wells data, to study the petrophysical similarity of those wells in a spatial distribution. For this, we used the DFA method in order to know if we can or not use this technique to characterize spatially the fields. After obtain the DFA values for all wells, we applied clustering analysis. To do these tests we used the non-hierarchical method called K-means. Usually based on the Euclidean distance, the K-means consists in dividing the elements of a data matrix N in k groups, so that the similarities among elements belonging to different groups are the smallest possible. In order to test if a dataset generated by the K-means method or randomly generated datasets form spatial patterns, we created the parameter Ω (index of neighborhood). High values of Ω reveals more aggregated data and low values of Ω show scattered data or data without spatial correlation. Thus we concluded that data from the DFA of 54 wells are grouped and can be used to characterize spatial fields. Applying contour level technique we confirm the results obtained by the K-means, confirming that DFA is effective to perform spatial analysis

Avaliação dos principais programas de boas práticas agropecuárias implantados no Brasil para promover a sustentabilidade da cadeia leiteira

Dissertação (mestrado)—Universidade de Brasília, Faculdade de Agronomia e Medicina Veterinária, 2016.

Development of regional production areas in a changing climate: a case study of Gippsland, Australia

Increased global demand for agricultural production is being driven, in particular, by the rising middle class in the Asia-Pacific geo-region. The significant role of natural resource-based industries, especially agriculture, in the development of non-metropolitan regions is again being recognised. In this context, this article describes a spatial analysis approach to agricultural development based on the development of Production Areas (PAs) in regional/rural economies. PAs are spatial units within regions selected for the intensive sustainable development of agriculture (including forestry, agro-forestry and bio-energy), their associated activities and underpinning infrastructure. A case study in a resource-based region in Australia—Gippsland – explains the approach. This is informed by the eco-economy model of endogenous regional/rural development, which addresses the links between novel co-production and consumption networks. The methodology for the identification and analysis of PAs has, at its core, Land Suitability Analyses of those agricultural commodities currently cultivated in the region and those that could be grown in future climates. The use of GIS enables us to overlay and analyse several constraints (e.g. flood erosion and salinity risk) and resources (e.g. water and transport) to define PAs and the available land within each of them. The approach is further illustrated by focusing in one PA—Macalister, an irrigated dairy production area where recent dry climatic conditions caused a substantial decline in water resources. Key elements for the sustainable development of this PA are outlined including construction of Blue-Green Infrastructure. Comments on the approach and the need for strategic long-term planning concludes the article.

Urbanization impacts on mammals across urban-forest edges and a predictive model of edge effects

With accelerating rates of urbanization worldwide, a better understanding of ecological processes at the wildland-urban interface is critical to conserve biodiversity. We explored the effects of high and low-density housing developments on forest-dwelling mammals. Based on habitat characteristics, we expected a gradual decline in species abundance across forest-urban edges and an increased decline rate in higher contrast edges. We surveyed arboreal mammals in sites of high and low housing density along 600 m transects that spanned urban areas and areas turn on adjacent native forest. We also surveyed forest controls to test whether edge effects extended beyond our edge transects. We fitted models describing richness, total abundance and individual species abundance. Low-density housing developments provided suitable habitat for most arboreal mammals. In contrast, high-density housing developments had lower species richness, total abundance and individual species abundance, but supported the highest abundances of an urban adapter (Trichosurus vulpecula). We did not find the predicted gradual decline in species abundance. Of four species analysed, three exhibited no response to the proximity of urban boundaries, but spilled over into adjacent urban habitat to differing extents. One species (Petaurus australis) had an extended negative response to urban boundaries, suggesting that urban development has impacts beyond 300 m into adjacent forest. Our empirical work demonstrates that high-density housing developments have negative effects on both community and species level responses, except for one urban adapter. We developed a new predictive model of edge effects based on our results and the literature. To predict animal responses across edges, our framework integrates for first time: (1) habitat quality/preference, (2) species response with the proximity to the adjacent habitat, and (3) spillover extent/sensitivity to adjacent habitat boundaries. This framework will allow scientists, managers and planners better understand and predict both species responses across edges and impacts of development in mosaic landscapes.

Quantifying wildlife-watching ecotourism intensity on an endangered marine vertebrate

Here, we show how seasonal changes in animal density drive strategic shifts in the activities of wildlife-watching operators. These shifts result in high viewing intensity when animal densities are low, highlighting the need for modifications to existing wildlife-watching guidelines. We used the endangered loggerhead sea turtle Caretta caretta as a model species that exhibits staggered departure from an important breeding area (Zakynthos, Greece, Mediterranean) over a 2-month period (July to August) when tourism is at a peak, to investigate changes in wildlife-watching strategies, zoning effectiveness and voluntary guideline compliance over time. We used a combination of direct land-based observations, global positioning system tracking (of wildlife-watching vessels and turtles) and models. The modelled number of turtles present in the breeding area decreased from >200 in July to <50 in August, while the intensity of turtle-viewing increased from a mean 1.5 to 6.1 wildlife-watching vessels per turtle-viewing event (i.e. concurrent and consecutive vessels observing a single turtle) over the same period, respectively. During this period, the wildlife-watching strategy changed and compliance to guidelines reduced (exacerbated by recreational vessels). However, wildlife-watching activity was limited to a highly restricted 0.95-km2 nearshore area, overlapping with just 9.5% of the core habitat area used by turtles. Our results have broad implications (whale watching etc.) by showing the importance of taking the number of animals available for viewing into consideration when assessing wildlife-watching activity and when designing viewing guidelines, particularly for populations where numbers noticeably fluctuate.

Using kernel density estimation to understand the influence of neighbourhood destinations on BMI

OBJECTIVES: Little is known about how the distribution of destinations in the local neighbourhood is related to body mass index (BMI). Kernel density estimation (KDE) is a spatial analysis technique that accounts for the location of features relative to each other. Using KDE, this study investigated whether individuals living near destinations (shops and service facilities) that are more intensely distributed rather than dispersed, have lower BMIs.

STUDY DESIGN AND SETTING: A cross-sectional study of 2349 residents of 50 urban areas in metropolitan Melbourne, Australia.

METHODS: Destinations were geocoded, and kernel density estimates of destination intensity were created using kernels of 400, 800 and 1200 m. Using multilevel linear regression, the association between destination intensity (classified in quintiles Q1(least)-Q5(most)) and BMI was estimated in models that adjusted for the following confounders: age, sex, country of birth, education, dominant household occupation, household type, disability/injury and area disadvantage. Separate models included a physical activity variable.

RESULTS: For kernels of 800 and 1200 m, there was an inverse relationship between BMI and more intensely distributed destinations (compared to areas with least destination intensity). Effects were significant at 1200 m: Q4, β -0.86, 95% CI -1.58 to -0.13, p=0.022; Q5, β -1.03 95% CI -1.65 to -0.41, p=0.001. Inclusion of physical activity in the models attenuated effects, although effects remained marginally significant for Q5 at 1200 m: β -0.77 95% CI -1.52, -0.02, p=0.045.

CONCLUSIONS: This study conducted within urban Melbourne, Australia, found that participants living in areas of greater destination intensity within 1200 m of home had lower BMIs. Effects were partly explained by physical activity. The results suggest that increasing the intensity of destination distribution could reduce BMI levels by encouraging higher levels of physical activity.

APPLICATION OF REMOTE SENSING IN AQUATIC ECOSYSTEMS

I utilized state the art remote sensing and GIS (Geographical Information System) techniques to study large scale biological, physical and ecological processes of coastal, nearshore, and offshore waters of Lake Michigan and Lake Superior. These processes ranged from chlorophyll a and primary production time series analysies in Lake Michigan to coastal stamp sand threats on Buffalo Reef in Lake Superior. I used SeaWiFS (Sea-viewing Wide Field-of-view Sensor) satellite imagery to trace various biological, chemical and optical water properties of Lake Michigan during the past decade and to investigate the collapse of early spring primary production. Using spatial analysis techniques, I was able to connect these changes to some important biological processes of the lake (quagga mussels filtration). In a separate study on Lake Superior, using LiDAR (Light Detection and Ranging) and aerial photos, we examined natural coastal erosion in Grand Traverse Bay, Michigan, and discussed a variety of geological features that influence general sediment accumulation patterns and interactions with migrating tailings from legacy mining. These sediments are moving southwesterly towards Buffalo Reef, creating a threat to the lake trout and lake whitefish breeding ground.

Prevalencia e incidencia de cáncer en habitantes de Sibaté, y georeferenciación de casos 2010-2014

Introducción: El Cáncer es prevenible en algunos casos, si se evita la exposición a sustancias cancerígenas en el medio ambiente. En Colombia, Cundinamarca es uno de los departamentos con mayores incrementos en la tasa de mortalidad y en el municipio de Sibaté, habitantes han manifestado preocupación por el incremento de la enfermedad. En el campo de la salud ambiental mundial, la georreferenciación aplicada al estudio de fenómenos en salud, ha tenido éxito con resultados válidos. El estudio propuso usar herramientas de información geográfica, para generar análisis de tiempo y espacio que hicieran visible el comportamiento del cáncer en Sibaté y sustentaran hipótesis de influencias ambientales sobre concentraciones de casos. Objetivo: Obtener incidencia y prevalencia de casos de cáncer en habitantes de Sibaté y georreferenciar los casos en un periodo de 5 años, con base en indagación de registros. Metodología: Estudio exploratorio descriptivo de corte transversal,sobre todos los diagnósticos de cáncer entre los años 2010 a 2014, encontrados en los archivos de la Secretaria de Salud municipal. Se incluyeron unicamente quienes tuvieron residencia permanente en el municipio y fueron diagnosticados con cáncer entre los años de 2010 a 2104. Sobre cada caso se obtuvo género, edad, estrato socioeconómico, nivel académico, ocupación y estado civil. Para el análisis de tiempo se usó la fecha de diagnóstico y para el análisis de espacio, la dirección de residencia, tipo de cáncer y coordenada geográfica. Se generaron coordenadas geográficas con un equipo GPS Garmin y se crearon mapas con los puntos de la ubicación de las viviendas de los pacientes. Se proceso la información, con Epi Info 7 Resultados: Se encontraron 107 casos de cáncer registrados en la Secretaria de Salud de Sibaté, 66 mujeres, 41 hombres. Sin división de género, el 30.93% de la población presento cáncer del sistema reproductor, el 18,56% digestivo y el 17,53% tegumentario. Se presentaron 2 grandes casos de agrupaciones espaciales en el territorio estudiado, una en el Barrio Pablo Neruda con 12 (21,05%) casos y en el casco Urbano de Sibaté con 38 (66,67%) casos. Conclusión: Se corroboro que el análisis geográfico con variables espacio temporales y de exposición, puede ser la herramienta para generar hipótesis sobre asociaciones de casos de cáncer con factores ambientales.

STAR Modeling of Pulmonary Tuberculosis Delay-Time in Diagnosis

Understanding what characterizes patients who suffer great delays in diagnosis of pulmonary tuberculosis is of great importance when establishing screening strategies to better control TB. Greater delays in diagnosis imply a higher chance for susceptible individuals to become infected by a bacilliferous patient. A Structured Additive Regression model is attempted in this study in order to potentially contribute to a better characterization of bacilliferous prevalence in Portugal. The main findings suggest the existence of significant regional differences in Portugal, with the fact of being female and/or alcohol dependent contributing to an increased delay-time in diagnosis, while being dependent on intravenous drugs and/or being diagnosed with HIV are factors that increase the chance of an earlier diagnosis of pulmonary TB. A decrease in 2010 to 77% on treatment success in Portugal underlines the importance of conducting more research aimed at better TB control strategies.

SISTEMA DE INFORMACIÓN GEOGRÁFICA PARA EL ANÁLISIS ESPACIAL DE LA PESQUERÍA ARTESANAL ASENTADA EN LA PENÍNSULA DE ARAYA, ESTADO SUCRE – VENEZUELA

Se desarrolló un Sistema de Información Geográfica (SIG) automatizado para el análisis espacial de las capturas, del esfuerzo pesquero, de la abundancia estimada de especies mediante el índice de Captura por Unidad de Esfuerzo (CPUE) y de su relación con algunos factores ambientales (profundidad, tipo de fondo y temperatura superficial del mar) de la esquería artesanal asentada en la península de Araya, Estado Sucre, República de Venezuela. Este programa automatizado, denominado SIGPAR, fue desarrollado utilizando el lenguaje Microsoft® Visual Basic 6 y la respectiva librería del software SIG Idrisi®, a cuyo menú principal fue agregado un nuevo módulo que facilita la interacción con los usuarios.Palabras claves: Sistema de Información Geográfica (SIG); pesquería artesanal; Península de Araya, Venezuela.AbstractA Geographic Information System (GIS) application software was developed for the spatial analysis of fishing catches, the estimated abundance of species by the Catch per Unit Effort (CPUE) index, and its relationship with various environmental factors (depth, type of bottom, and surface temperature of the sea) of the artisanal fishery based in the Peninsula of Araya, State of Sucre, in Venezuela. This application, named SIGPAR, was developed using Microsoft® Visual Basic 6 and IDRISI®. A menu button was added to the GIS software IDRISI® for convenience of users.Key Words: Geographic Information System (GIS), Artisanal Fisheries, Araya, Venezuela.

SISTEMAS DE INFORMACIÓN GEOGRÁFICA COMO HERRAMIENTA PARA EVALUAR LA APORTACIÓN ANTROPICA DE MERCURIO EN SUELOS

Este trabajo evalúa el contendido y la variabilidad espacial de mercurio en suelos agrícolas de Islas Baleares y Canarias utilizando técnicas integradas en los sistemas de información geográfica. El propósito de este estudio ha sido valorar el contenido y distribución del mercurio en el suelo y distinguir la contribución considerada como natural, y procedente del aporte de la roca de origen, de la inducida por actividades humanas, considerada como contaminante. El SIG se muestra comouna tecnología capaz de localizar fuentes de contaminación y proporcionar el alcance de éstos. Los mapas generados con la relación de Hg_suelo/Hg_roca han permitido cuantificar las entradas de este metal en el suelo y evaluar el enriquecimiento de mercurio en el mismo. Valores excesivamente elevados encontrados en un área de la Isla de Mallorca son atribuibles a las emisiones de una planta eléctrica de carbón cercana.PALABRAS CLAVE: Análisis espacial, SIG, geostadística, mercurio, contaminación de suelos.ABSTRACTThis study assesses Hg concentration and the spatial variability of mercury in agricultural soils of the Balearic and Canary Islands using integrated techniques of geographic information systems. The purpose of this study was to characterize in quantitative terms the mercury concentrations and to distinguish “natural” mercury contribution from that of human-induced contamination. GIS is shown to be technologically capable of locating sources of pollution and assessing their scope. The top soil/rock mercury content maps showed a high level of mercury in the same areas. Excessively high Hg values found in an area of the island of Mallorca are attributable to emissions from a coalfired power plant nearby.KEYWORDS: Spatial analysis, GIS, geostatistic, mercury, soil contamination

EVALUACIÓN DE HÁBITAT POTENCIAL PARA LA DANTA CENTROAMERICANA (TAPIRUS BAIRDII) EN EL CORREDOR BIOLÓGICO SAN JUAN-LA SELVA, COSTA RICA

La danta centroamericana (Tapirus bairdii) es el mamífero terrestre de mayor tamaño en el Neotrópico. Es un importante dispersor de semillas que contribuye al enriquecimiento de especies en los bosques donde habita. Varios estudios ecológicos han permitido conocer esta especie discreta; sin embargo, su distribución y el tamaño de sus poblaciones permanece sensiblemente desconocido fuera de las áreas silvestres protegidas. El propósito de esta investigación consistió en proponer una metodología de análisis geo-espacial sencilla que permitiera realizar una evaluación rápida del hábitat potencial para la danta centroamericana. Se seleccionaron siete variables de la ecología de la danta centroamericana, las cuales fueron evaluadas en el Corredor Biológico San Juan-La Selva, mediante un sistema de información geográfica (SIG). Estimamos la población de dantas con un rango de 69 a 208 individuos. Esto es una manera barata de determinar la viabilidad del hábitat de la danta cuando existe información confiable sobre los procesos dinámicos de los ecosistemas presentes en el área del estudio.Palabras clave: Tapiridae, danta centroamericana, Tapirus bairdii, evaluación de hábitat, analisis geo-espacial, Corredor Biológico San Juan-La Selva, Costa RicaAbstract: Baird’s Tapir (Tapirus bairdii) is the largest terrestrial mammal in the Neotropics. It is an important seed disperser that contributes to the enrichment of species in the forests where it lives. Several ecological studies on this species have generated knowledge about this discreet species; nevertheless, its distribution and the size of its populations outside protected wildlife areas sensibly remain unknown. The purpose of this investigation consisted in proposing a simple methodology of geo-space analysis that allowed realizing a fast evaluation of the potential habitat for Baird’s Tapir. Seven variables of the ecology of Baird’s Tapir were selected, which were evaluated in the San Juan-La Selva Biological Corridor, using a geographical information system (GIS) program. We estimated the tapir population to range from 69 to 208 individuals. This is an inexpensive way to assess Tapir’s habitat viability when there is a strong knowledge about the dynamic processes from the ecosystems present in the study area.Key Words: Tapiridae, Baird’s Tapir, Tapirus bairdii, habitat viability assessment, geo-spatial analysis, San Juan-La Selva Biological Corridor, Costa Rica

HACIA UNA GEOGRAFÍA DE REDES: UN NUEVO PARADIGMA DE ANÁLISIS ESPACIAL ALTERNATIVO AL ENFOQUE REGIONAL

En este artículo se pretende rescatar el análisis de redes independientemente del enfoque aureolar, destacando sus virtudes en un mundo globalizado, en donde cada vez más el concepto de distancia es sustituido por de tiempo, hasta llegar al extremo de que el costo, de algunos productos o la información, ya no depende de la distancia como el caso de las tarifas planas de Internet. Se aborda un enfoque teórico metodológico que cuestiona  el  análisis  regional,  debido  a  que,  éste  enfoque  en  algunos  aspectos  ya  no puede  resolver  los  problemas  que  la  sociedad  actual  demanda.   En  el  espacio  red,la noción de  localización absoluta pierde vigencia, mientras se refuerza  la  importancia de la  conexión  a  las  redes. Las metodologías  propuestas,  podrían mejorar  la  ejecución  y operación  de  las  redes    presentes  en  los planes  de  ordenamiento  del  territorio,  tan  en boga, en nuestro país. Abstract:In  this article  it  is  tried  to rescue  the analysis of networks  independently of the approach  to  aureole, emphasizing  its  virtues  in a globalized world,  in where more and more the distance concept is replaced by the time, until arriving at the end of which the cost, no  longer depends on  the distance as  the case of  the  flat  tariffs of Internet. A theoretical/ methodological approach  that questions  the regional analysis, because,  this one approach  in some aspects no longer can solve the problems that the present society demand.  In  the  space  network,  the  notion  of  absolute  location  loses  use  while  the importance  of  the  connection  to  the  networks  is  reinforced.  The  proposed methodologies  could  improve  the  boarding  of  the  present  networks  in  the  regulating plans, so in rows, our country.

GEOGRAFÍA CULTURAL E IDENTIDAD TERRITORIAL: EL CASO DE LA COMUNIDAD DE CABUYA, DISTRITO DE CÓBANO, PUNTARENAS, 2009

El artículo hace referencia a un encuadre teórico desde la geografía cultural, a partir de una sistematización de fuentes bibliográficas seleccionadas, para explicar el análisis espacial a escala local integrando la variable “identidad territorial”. Con tal propósito se elaboró un instrumento que permite identificar dónde es posible señalar rasgos de identidad territorial en la población de Cabuya, con el fin de que la información recopilada sea utilizada como insumo de intervención, en el proceso de participación ciudadana en los talleres que realiza la Universidad Nacional (UNA) para elaborar un plan estratégico en dicha comunidad. ABSTRACT The article refers to a theoretical framework from cultural geography, referring to a bibliographical system of selected sources that explain the spatial analysis to local scale integrating the variable “territorial identity”. With this in mind, we developed a tool to identify, where possible, features of territorial identity in the population of Cabuya so that the compiled information could be used as an input of intervention in the process of citizen participation in workshops conducted by Universidad Nacional to develop a strategic plan for the community of Cabuya.

Design of a preliminary error impact analysis model for spatial safety assessment of earthmoving operations

Regardless of technology benefits, safety planners still face difficulties explaining errors related to the use of different technologies and evaluating how the errors impact the performance of safety decision making. This paper presents a preliminary error impact analysis testbed to model object identification and tracking errors caused by image-based devices and algorithms and to analyze the impact of the errors for spatial safety assessment of earthmoving and surface mining activities. More specifically, this research designed a testbed to model workspaces for earthmoving operations, to simulate safety-related violations, and to apply different object identification and tracking errors on the data collected and processed for spatial safety assessment. Three different cases were analyzed based on actual earthmoving operations conducted at a limestone quarry. Using the testbed, the impacts of the errors were investigated for the safety planning purpose.