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Geographic Data Imperfection 1
Geomatics is a field of science that has been intimately intertwined with our daily lives for almost 30 years, to the point where we often forget all the challenges it entails. Who does not have a navigation application on their phone or regularly engage with geolocated data? What is more, in the coming decades, the accumulation of geo-referenced data is expected to increase significantly. This book focuses on the notion of the imperfection of geographic data, an important topic in geomatics. It is essential to be able to define and represent the imperfections that are encountered in geographical data. Ignoring these imperfections can lead to many risks, for example in the use of maps which may be rendered inaccurate. It is, therefore, essential to know how to model and treat the different categories of imperfection. A better awareness of these imperfections will improve the analysis and the use of this type of data.
Geographical Data Imperfection 2
Geographical data often contains imperfections associated with insufficient precision, errors or incompleteness. If these imperfections are not identified, taken into account and controlled when using the data, the potential for errors may arise, leading to significant consequences with unforeseeable effects, particularly in a decisionmaking context. It is then necessary to characterize and model this imperfection, and take it into account throughout the process. In the previous volume, we introduced different approaches for defining, representing and processing imperfections in geographic data. Volume 2 will now present a number of concrete applications in a variety of fields, demonstrating the practical application of the methodology to use cases such as agriculture, natural disaster management, mountain hazards, land management and assistance for the visually impaired.
The Boy Who Wanted to Be a Man
Little Roger, an eleven-year-old boy growing up in northern Maine near the Canadian border, must write a history paper about his small town of Frenchville. As his mother is telling him about growing up in nearby New Brunswick, Canada, she tells him that "Where I'm from, a boy is not a man until he kills a deer." At that point Little Roger sets a new goal for himself, not only does he want to get an A on his history paper about Frenchville but now he also wants to kill a deer and become a man! He knows what he must do but it is something very new to him and he must find a way to reconcile the task with the outcome. With only a couple of days left in the hunting season, will Little Roger kill a deer and become a man?
Computational Science and Its Applications -- ICCSA 2013
The five-volume set LNCS 7971-7975 constitutes the refereed proceedings of the 13th International Conference on Computational Science and Its Applications, ICCSA 2013, held in Ho Chi Minh City, Vietnam, in June 2013. Apart from the general track, ICCSA 2013 also include 33 special sessions and workshops, in various areas of computational sciences, ranging from computational science technologies, to specific areas of computational sciences, such as computer graphics and virtual reality. There are 46 papers from the general track, and 202 in special sessions and workshops.
Methods for Handling Imperfect Spatial Information
Spatial information is pervaded by uncertainty. Indeed, geographical data is often obtained by an imperfect interpretation of remote sensing images, while people attach ill-defined or ambiguous labels to places and their properties. As another example, medical images are often the result of measurements by imprecise sensors (e.g. MRI scans). Moreover, by processing spatial information in real-world applications, additional uncertainty is introduced, e.g. due to the use of interpolation/extrapolation techniques or to conflicts that are detected in an information fusion step. To the best of our knowledge, this book presents the first overview of spatial uncertainty which goes beyond the settin...
Carnegie Hero Fund Commission
List of officers and members, Deed of trust, By-laws, List of wards, etc.
The Magick Papers
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The Boy Who Wanted to Be a Man
Little Roger, an eleven-year-old boy growing up in northern Maine near the Canadian border, must write a history paper about his small town of Frenchville. As his mother is telling him about growing up in nearby New Brunswick, Canada, she tells him that Where Im from, a boy is not a man until he kills a deer. At that point Little Roger sets a new goal for himself, not only does he want to get an A on his history paper about Frenchville but now he also wants to kill a deer and become a man! He knows what he must do but it is something very new to him and he must find a way to reconcile the task with the outcome. With only a couple of days left in the hunting season, will Little Roger kill a deer and become a man?
L’imperfection des données géographiques 2
Les données géographiques présentent souvent des imperfections qui sont liées à une précision insuffisante, à des erreurs, ou au fait que ces données sont de nature incomplète. Si dans l’utilisation de ces données, ces imperfections ne sont pas identifiées, prises en compte et maîtrisées, alors des risques d’erreurs peuvent apparaître et conduire à des conséquences importantes avec des effets non prévisibles notamment dans un contexte de prise de décision. Il est nécessaire alors de caractériser et de modéliser cette imperfection, puis d’en tenir compte tout au long de son traitement. Alors que le volume précédent introduisait différentes approches pour définir, représenter et traiter l’imperfection des données géographiques, L’imperfection des données géographiques 2 s’intéresse à plusieurs applications concrètes dans des domaines variés, qui montrent la mise en pratique de méthodologies sur des cas d’utilisation pour l’agriculture, la gestion des catastrophes naturelles, les risques en montagne, la gestion foncière, ou bien encore pour l’aide aux personnes en situation de handicap visuel.
