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Showing 1 to 11 of 11 for “"GeoComputation"”.

  1. Calculating and Assessing Mobile Mapping System Point Density for Roadside Infrastructure Surveys

    The current generation of Mobile Mapping Systems (MMSs) capture increasingly larger amounts of data in a short time frame. Due to the relative novelty of this technology there is no concrete understanding of the point density that different scanner confgurations and scanner hardware settings will …

    maynooth Repository record for Calculating and Assessing Mobile Mapping System Point Density for Roadside Infrastructure Surveys (opens in a new tab)

  2. The spatial structure of mobile communication networks

    There has been a recent surge of interest in the relationship between the spatial and topological structure of communication networks with the availability of large scale anonymous datasets on the communication and mobility patterns of individuals. These datasets, captured as a by-product of modern …

    maynooth Repository record for The spatial structure of mobile communication networks (opens in a new tab)

  3. Temporal decomposition and semantic enrichment of mobility flows

    Mobility data has increasingly grown in volume over the past decade as loc- alisation technologies for capturing mobility ows have become ubiquitous. Novel analytical approaches for understanding and structuring mobility data are now required to support the back end of a new generation of …

    maynooth Repository record for Temporal decomposition and semantic enrichment of mobility flows (opens in a new tab)

  4. Acoustic data optimisation for seabed mapping with visual and computational data mining

    Oceans cover 70% of Earth’s surface but little is known about their waters. While the echosounders, often used for exploration of our oceans, have developed at a tremendous rate since the WWII, the methods used to analyse and interpret the data still remain the same. These methods are inefficient, …

    maynooth Repository record for Acoustic data optimisation for seabed mapping with visual and computational data mining (opens in a new tab)

  5. Using Geovisual Analytics to investigate the performance of Geographically Weighted Discriminant Analysis

    Geographically Weighted Discriminant Analysis (GWDA) is a method for prediction and analysis of categorical spatial data. It is an extension of Linear Discriminant Analysis (LDA) that allows the relationship between the predictor variables and the categories to vary spatially. This is also referred …

    maynooth Repository record for Using Geovisual Analytics to investigate the performance of Geographically Weighted Discriminant Analysis (opens in a new tab)

  6. Road Features Extraction Using Terrestrial Mobile Laser Scanning System

    In this thesis, we present the experimental research and key contributions we have made in the field of road feature extraction from LiDAR data. We detail the development of three automated algorithms for the extraction of road features from terrestrial mobile LiDAR data. LiDAR data is a rich …

    maynooth Repository record for Road Features Extraction Using Terrestrial Mobile Laser Scanning System (opens in a new tab)

  7. Commuting flows & local labour markets: Spatial interaction modelling of travel-to-work

    One of the most promising approaches to mitigating land-use and transportation problems is continued research on urban commuting. Commuting is essential to many individuals, allowing them to participate in the labour market and earn a living to meet their essential needs. As such, a better …

    maynooth Repository record for Commuting flows & local labour markets: Spatial interaction modelling of travel-to-work (opens in a new tab)

  8. Linking Spatial Video and GIS

    Spatial Video is any form of geographically referenced videographic data. The forms in which it is acquired, stored and used vary enormously; as does the standard of accuracy in the spatial data and the quality of the video footage. This research deals with a specific form of Spatial Video where …

    maynooth Repository record for Linking Spatial Video and GIS (opens in a new tab)

  9. Data-intensive spatial pattern discovery based on generalized spatial point representations

    Geospatial big data consisting of records at the individual level or with fine spatial resolutions, such as geo-referenced social media posts and movement records collected using GPS, provide tremendous opportunities to understand complex geographic phenomena and their space-time dynamics. Such …

    uiuc Repository record for Data-intensive spatial pattern discovery based on generalized spatial point representations (opens in a new tab)