Variación espacial de la exposición a contaminación atmosférica en la ciudad de Valencia y su relación con un índice de privación

Objetivo: Evaluar la variación espacial de la exposición a dióxido de nitrógeno (NO2) en la ciudad de Valencia y su relación con la privación socioeconómica y la edad. Métodos: La población por sección censal (SC) procede del Instituto Nacional de Estadística. Los niveles de NO2 se midieron en 100 puntos del área de estudio, mediante captadores pasivos, en tres campañas entre 2002 y 2004. Se utilizó regresión por usos del suelo (LUR) para obtener el mapa de los niveles de NO2. Las predicciones del LUR se compararon con las proporcionadas por: a) el captador más cercano de la red de vigilancia, b) el captador pasivo más cercano, c) el conjunto de captadores en un entorno y d) kriging. Se asignaron niveles de contaminación para cada SC. Se analizó la relación entre los niveles de NO2, un índice de privación con cinco categorías y la edad (≥65 años). Resultados: El modelo LUR resultó el método más preciso. Más del 99% de la población superó los niveles de seguridad propuestos por la Organización Mundial de la Salud. Se encontró una relación inversa entre los niveles de NO2 y el índice de privación (β = –2,01 μg/m3 en el quintil de mayor privación respecto al de menor, IC95%: –3,07 a –0,95), y una relación directa con la edad (β = 0,12 μg/m3 por incremento en unidad porcentual de población ≥65 años, IC95%: 0,08 a 0,16). Conclusiones: El método permitió obtener mapas de contaminación y describir la relación entre niveles de NO2 y características sociodemográficas.

Formación y desecación del sinus ilicitanus (Sur de Alicante) en los últimos 15.000 años

En este trabajo se describe el cambio de la línea de costa en la parte sur de la provincia de Alicante para los últimos 15.000 años. Se ha obtenido integrando datos de diferentes fuentes y especialmente de perfiles sísmicos de alta resolución marinos de la plataforma continental anexa. Se han distinguido 10 periodos. Comienza con la transgresión marina tras la última glaciación, le sigue la formación del sinus ilicitanus entre los años 4.000 y 3.000 AC, y finaliza con un lento proceso de desecación hasta la actualidad, reducido a las lagunas del Fondo y Salinas de Santa Pola.

3D Maps Representation Using GNG

Current RGB-D sensors provide a big amount of valuable information for mobile robotics tasks like 3D map reconstruction, but the storage and processing of the incremental data provided by the different sensors through time quickly become unmanageable. In this work, we focus on 3D maps representation and propose the use of the Growing Neural Gas (GNG) network as a model to represent 3D input data. GNG method is able to represent the input data with a desired amount of neurons or resolution while preserving the topology of the input space. Experiments show how GNG method yields a better input space adaptation than other state-of-the-art 3D map representation methods.

Feature selection by multi-objective optimisation: Application to network anomaly detection by hierarchical self-organising maps

Feature selection is an important and active issue in clustering and classification problems. By choosing an adequate feature subset, a dataset dimensionality reduction is allowed, thus contributing to decreasing the classification computational complexity, and to improving the classifier performance by avoiding redundant or irrelevant features. Although feature selection can be formally defined as an optimisation problem with only one objective, that is, the classification accuracy obtained by using the selected feature subset, in recent years, some multi-objective approaches to this problem have been proposed. These either select features that not only improve the classification accuracy, but also the generalisation capability in case of supervised classifiers, or counterbalance the bias toward lower or higher numbers of features that present some methods used to validate the clustering/classification in case of unsupervised classifiers. The main contribution of this paper is a multi-objective approach for feature selection and its application to an unsupervised clustering procedure based on Growing Hierarchical Self-Organising Maps (GHSOMs) that includes a new method for unit labelling and efficient determination of the winning unit. In the network anomaly detection problem here considered, this multi-objective approach makes it possible not only to differentiate between normal and anomalous traffic but also among different anomalies. The efficiency of our proposals has been evaluated by using the well-known DARPA/NSL-KDD datasets that contain extracted features and labelled attacks from around 2 million connections. The selected feature sets computed in our experiments provide detection rates up to 99.8% with normal traffic and up to 99.6% with anomalous traffic, as well as accuracy values up to 99.12%.

Subsidence activity maps derived from DInSAR data: Orihuela case study

A new methodology is proposed to produce subsidence activity maps based on the geostatistical analysis of persistent scatterer interferometry (PSI) data. PSI displacement measurements are interpolated based on conditional Sequential Gaussian Simulation (SGS) to calculate multiple equiprobable realizations of subsidence. The result from this process is a series of interpolated subsidence values, with an estimation of the spatial variability and a confidence level on the interpolation. These maps complement the PSI displacement map, improving the identification of wide subsiding areas at a regional scale. At a local scale, they can be used to identify buildings susceptible to suffer subsidence related damages. In order to do so, it is necessary to calculate the maximum differential settlement and the maximum angular distortion for each building of the study area. Based on PSI-derived parameters those buildings in which the serviceability limit state has been exceeded, and where in situ forensic analysis should be made, can be automatically identified. This methodology has been tested in the city of Orihuela (SE Spain) for the study of historical buildings damaged during the last two decades by subsidence due to aquifer overexploitation. The qualitative evaluation of the results from the methodology carried out in buildings where damages have been reported shows a success rate of 100%.

Using causal maps to support ex-post assessment of social impacts of dams

This paper presents the results of an ex-post assessment of two important dams in Brazil. The study follows the principles of Social Impact Management, which offer a suitable framework for analyzing the complex social transformations triggered by hydroelectric dams. In the implementation of this approach, participative causal maps were used to identify the ex-post social impacts of the Porto Primavera and Rosana dams on the community of Porto Rico, located along the High Paraná River. We found that in the operation of dams there are intermediate causes of a political nature, stemming from decisions based on values and interests not determined by neutral, exclusively technical reasons; and this insight opens up an area of action for managing the negative impacts of dams.

Causal Maps and Indirect Influences Analysis in the Diagnosis of Second-Home Tourism Impacts

This paper proposes a method for diagnosing the impacts of second-home tourism and illustrates it for a Mediterranean Spanish destination. This method proposes the application of network analysis software to the analysis of causal maps in order to create a causal network model based on stakeholder-identified impacts. The main innovation is the analysis of indirect relations in causal maps for the identification of the most influential nodes in the model. The results show that the most influential nodes are of a political nature, which contradicts previous diagnoses identifying technical planning as the ultimate cause of problems.

Estructura y forma de la ciudad a través de la cartografía histórica: Castro Urdiales, Cantabria (1800-1960)

El presente artículo se plantea como objetivo el análisis de la evolución estructural y morfológica de un espacio urbano de rango y tamaño modestos, Castro Urdiales (Cantabria), desde su condición histórica de villa marinera hasta su consolidación como ciudad industrial moderna. Desde una perspectiva metodológica, la parte más substancial del análisis de la dinámica urbanística se apoya esencialmente en el uso de las imágenes cartográficas, como referencias documentales que proporcionan datos y testimonios que no se encuentran en otras fuentes. No obstante, como sucede con otras fuentes documentales, la información obtenida de mapas y planos ha sido combinada y complementada con otro tipo de fuentes coetáneas a las cartográficas. Y, por descontado, se han adoptado las oportunas precauciones, similares a las tomadas con las fuentes escritas, sobre posibles errores de información mediante el contraste y la comparación de unas y otras fuentes, cartográficas y literarias.

Accounts related to maps and pamphlets, 1809-1823

This folder contains eight handwritten account statements and notes primarily related to the collection of subscriptions for Croswell's maps and pamphlets, as well as the disbursement and storage of his printed maps and pamphlets.

New York, N.Y. and vicinity, 1777 (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: The country twenty five miles round New York, drawn by a gentleman from that city ; J. Barber, sculp., Holborn Hill. It was published by ... W. Hawkes (successor to T. Kitchin), No. 59, Holborn Hill, 1st January, 1777. Scale [ca. 1:220,000]. Covers the Metropolitan New York region. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Universal Transverse Mercator (UTM) Zone 18N NAD83 projection. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as roads, drainage, cities and towns, battle sites, fortifications, points of military interests, and more. Relief is shown pictorially. Shows radial distances from New York. Includes notes on military battles, "Chronological table of the most interesting occurrences since the commencement of hostilities in North America," distance table, and statistics of population and troops in lower margin. This layer is part of a selection of digitally scanned and georeferenced historic maps from The Harvard Map Collection as part of the Imaging the Urban Environment project. Maps selected for this project represent major urban areas and cities of the world, at various time periods. These maps typically portray both natural and manmade features at a large scale. The selection represents a range of regions, originators, ground condition dates, scales, and purposes.

Manhattan, New York, N.Y., 1817 (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: Plan of the city of New-York : the greater part from actual survey made expressly for the purpose (the rest from authentic documents), by Thos. H. Poppleton, city surveyor ; P. Maverick sc.. It was published by Prior & Dunning in 1817. Scale [ca. 1:7,300]. Covers Manhattan below 31st St. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Universal Transverse Mercator (UTM) Zone 18N NAD83 projection. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as roads, drainage, city wards, ferry lines, wharves, house numbers, selected places of interest, and houses with family names in less developed part of city. Includes key to places of interest. This layer is part of a selection of digitally scanned and georeferenced historic maps from The Harvard Map Collection as part of the Imaging the Urban Environment project. Maps selected for this project represent major urban areas and cities of the world, at various time periods. These maps typically portray both natural and manmade features at a large scale. The selection represents a range of regions, originators, ground condition dates, scales, and purposes.

Manhattan, New York, N.Y., 1845 (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: City of New-York, by David H. Burr. It was published by Edward Walker ca. 1845. Scale [ca. 1:12,500]. Covers Manhattan below 40th St. and portions of Brooklyn and Williamsburg, the Hudson and East Rivers. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Universal Transverse Mercator (UTM) Zone 18N NAD83 projection. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as roads, drainage, city wards, selected public buildings, ferry lines, wharves, and more. This layer is part of a selection of digitally scanned and georeferenced historic maps from The Harvard Map Collection as part of the Imaging the Urban Environment project. Maps selected for this project represent major urban areas and cities of the world, at various time periods. These maps typically portray both natural and manmade features at a large scale. The selection represents a range of regions, originators, ground condition dates, scales, and purposes.

Manhattan, New York, N.Y., 1857 (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: New York city map. It was published by J. Miller ca. 1857. Scale not given. Covers Manhattan below 131st St. and adjacent portions of Queens, Brooklyn, Jersey City, and Hoboken. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Universal Transverse Mercator (UTM) Zone 18N NAD83 projection. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as roads, railroads, ferry lines, drainage, parks, city wards, fire districts, wharves, selected public buildings, and more. Shows also radial distances from City Hall. Relief is shown by hachures. Includes indexes. This layer is part of a selection of digitally scanned and georeferenced historic maps from The Harvard Map Collection as part of the Imaging the Urban Environment project. Maps selected for this project represent major urban areas and cities of the world, at various time periods. These maps typically portray both natural and manmade features at a large scale. The selection represents a range of regions, originators, ground condition dates, scales, and purposes.

New York, N.Y. and vicinity, 1860 (Raster Image) (Image 2 of 2)

This layer is a georeferenced raster image of the historic paper map entitled: Map of the five cities of New York, Brooklyn, Jersey City, Hoboken & Hudson City : Plate no. 2, prepared by M. Dripps for Valentine's Manuel [sic] of the Corporation of the city of New York. It was published by Common Council in 1860. Scale not given. This layer is image 2 of 2 total images of the two sheet source map, representing the southern portion of the map. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Universal Transverse Mercator (UTM) Zone 18N NAD83 projection. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as roads, railroads, drainage, city wards, parks, cemeteries, pier and bulkhead lines, selected public buildings, and more. This layer is part of a selection of digitally scanned and georeferenced historic maps from The Harvard Map Collection as part of the Imaging the Urban Environment project. Maps selected for this project represent major urban areas and cities of the world, at various time periods. These maps typically portray both natural and manmade features at a large scale. The selection represents a range of regions, originators, ground condition dates, scales, and purposes.

Manhattan, New York, N.Y., 1867 (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: Colton's city & county map of New-York. It was published by G.W. and C.B. Colton in 1867. Scale [ca. 1:20,000]. Covers Manhattan and surrounding portions of Queens, Brooklyn, Jersey City, and Hoboken. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Universal Transverse Mercator (UTM) Zone 18N NAD83 projection. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as roads, railroads, ferry lines, drainage, selected public buildings, parks, city wards, and more. Relief is shown by hachures. Depths are shown by soundings. This layer is part of a selection of digitally scanned and georeferenced historic maps from The Harvard Map Collection as part of the Imaging the Urban Environment project. Maps selected for this project represent major urban areas and cities of the world, at various time periods. These maps typically portray both natural and manmade features at a large scale. The selection represents a range of regions, originators, ground condition dates, scales, and purposes.