1. Keynote Title: Can GIS Help Provide Better Health?
    Keynote Lecturer: Roberto Lattuada
    Presented on: 27/04/2016, Rome, Italy
    Abstract: The need to provide better, personal health information and care at lower costs is opening the way to a number of digital solutions and applications designed and developed specifically for the healthcare. Under the mHealth umbrella we find smartphone-based, personal applications and services to help manage cronic conditions or improve ones lifestyle; at the same time doctors, hospitals and health-services are using digital devices and solutions to improve quality and reduce costs.But what happens when we apply GIS techniques to health data ?The development of Medtrends: an analytical tool to map and analyse health-related queries.
    Conference Website: gistam.org/
    Presented at the following Conference: GISTAM, 2nd International Conference on Geographical Information Systems Theory, Applications and Management

    # vimeo.com/170813157 Uploaded 29 Plays 0 Comments
  2. Keynote Title: New Perspectives of Combined Data Sets from Multiple Remote Sensing and Terrestrial Data Networks for Environmental Information
    Keynote Lecturer: Barbara Koch
    Presented on: 26/04/2016, Rome, Italy
    Abstract: For environmental information it is of importance to link data from terrestrial measurements with remote sensing. Often vast terrestrial data sets exist as point data however for environmental studies area coverage is needed. In addition often different data sets need to be fused or connected to produce new information layers. Today a suite of remote sensing data is available connecting through different scales and providing different data properties which is complementary for more adjusted information. This talk will describe new developments and provide examples how the combination of remote sensing data and linkage with terrestrial data network will enhance the information value. The examples will refer to information provision in the field of renewable energy but also include examples for biodiversity studies and information for landscape analyses.
    Conference Website: gistam.org/
    Presented at the following Conference: GISTAM, 2nd International Conference on Geographical Information Systems Theory, Applications and Management

    # vimeo.com/171105299 Uploaded 14 Plays 0 Comments
  3. Keynote Title: GIS and Cartography - It’s Complicated
    Keynote Lecturer: Wolfgang Kainz
    Presented on: 27/04/2016, Rome, Italy
    Abstract: Geographic Information Systems (GIS) have been around for about 50 years. In this period we have seen a tremendous development of hardware, software, infrastructure, and applications. One critical part of GIS is the visualization of spatial facts and relations by means of various media and techniques. Maps as models of reality have been used for thousands of years. However, cartography as a science is relatively young. This keynote takes a critical look at the development of GIS and cartography, the complicated relationship of both with each other, and possible future developments.
    Conference Website: gistam.org/
    Presented at the following Conference: GISTAM, 2nd International Conference on Geographical Information Systems Theory, Applications and Management

    # vimeo.com/171063373 Uploaded 27 Plays 0 Comments
  4. Keynote Title: Geographic Knowledge Engineering for Territorial Intelligence

    Keynote Lecturer: Robert Laurini

    Keynote Chair: Jordi Corbera

    Presented on: 30/04/2015, Barcelona, Spain

    Abstract: In a lot of applications from agriculture to zoology, from environmental planning to territorial intelligence, actual systems of artificial intelligence are not very efficient, essentially because of a naïve representation of space.As spatial knowledge corresponds to conventional geometric and topological knowledge, geographic knowledge corresponds to knowledge about geographic features in the real world even if real features can have spatial relationships between them. In other words, spatial knowledge is based on topological, projective and distance relations; but if applied to geographic features, one must take earth rotundity and other characteristics (demography, physical geographic, economic geography, etc.) into account.After a rapid presentation of geographic relations and their properties, this paper will detail the 12 principles governing geographic knowledge. First emphasis will be given to various forms of geography knowledge, such as located facts, geographic clusters, flows, co-location rules and topological constraints.Then, based on ribbon theory spatial relations and earth rotundity, geographic relations will be defined. For instance, let us consider two features in the real world associated with a DISJOINT relation; when down-scaling, those objects can be associated with a TOUCHES relation. As a consequence, any reasoning mechanism must be transformed accordingly.Territorial intelligence is what business intelligence is for companies. Territorial intelligence can be defined as a cross-fertilization of human intelligence and artificial intelligence for sustainable development of any territory, countries, regions, cities, etc.

    Presented at the following Conference: GISTAM, 1st International Conference on Geographical Information Systems Theory, Applications and Management

    Conference Website: gistam.org/

    # vimeo.com/127131864 Uploaded 35 Plays 0 Comments
  5. Keynote Title: Hyperspectral Remote Sensing Data Analysis

    Keynote Lecturer: José Bioucas Dias

    Keynote Chair: Jorge Gustavo Rocha

    Presented on: 29/04/2015, Barcelona, Spain

    Abstract: Hyperspectral remote sensing technology has advanced significantly in the past two decades. Current sensors onboard airborne and spaceborne platforms cover large areas of the Earth surface with unprecedented spectral, spatial, and temporal resolutions. These characteristics enable a myriad of applications requiring fine identification of materials or estimation of physical parameters. Very often, these applications rely on sophisticated and complex data analysis methods. The sources of difficulties are, namely, the high dimensionality and size of the hyperspectral data, the spectral mixing (linear and nonlinear), and the degradation mechanisms associated to the measurement process such as noise, blur, and atmospheric effects. In this talk, I will present an overview cross section of some relevant hyperspectral data analysis methods and algorithms, namely, data fusion, unmixing, classification, target detection, physical parameter retrieval, and fast computing. For each topic, I will summarize the mathematical problem involved, give relevant pointers to state-of-the-art algorithm to address these problems, and illustrate experimentally the potentialities and limitations of these algorithms.

    Presented at the following Conference: GISTAM, 1st International Conference on Geographical Information Systems Theory, Applications and Management

    Conference Website: gistam.org/

    # vimeo.com/127131865 Uploaded 196 Plays 0 Comments

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