Anwender aus verschiedensten Fachgebieten stellen weitreichende Anforderungen an die Modellierung der Zeitdimension in den Geoinformationssystemen. Von Interesse ist dabei oft speziell eine Analyse der Dynamik der betrachteten Phänomene. Das Erfordernis, geeignete Methoden zur Erfassung und Verarbeitung von Zeitinformationen bereitzustellen, stand in den letzten Jahrzehnten im Fokus diverser Untersuchungen und Publikationen. Im Kontext dieser Entwicklung ist im Jahr 2002 auch eine ISO-Norm (ISO19108:2002, Zeitliche Schema) zu dieser Thematik erschienen. Die Möglichkeiten, die hinsichtlich dessen von aktuellen Geoinformationssystemen angeboten werden, bleiben im Allgemeinen hinter der genannten Norm zurück. In dieser Arbeit wird untersucht, inwiefern das Konzept des Zeitlichen Schemas der ISO durch einen Abstrakten Datentyp in einer Geodatenbank umgesetzt werden kann. Es erfolgt die Konzeption hierfür notwendiger Objekte und Funktionen. Ziel ist dabei die integrierte Erfassung, Verwaltung und Analyse von Zeitpunkten, -perioden sowie einfacher zeitlicher Komplexe. Weiter wird für den Informationsaustausch zwischen Nutzer und Datenbanksystem, aufbauend auf bestehenden Standards, eine textuelle Repräsentation der Objekte konzipiert. Die Umsetzbarkeit des Konzepts wurde durch eine prototypische Implementierung, in einer PostgreSQL-Datenbank mit PostGIS-Erweiterung, untersucht. Die prinzipielle Machbarkeit konnte nachgewiesen werden, Details werden in der Arbeit behandelt. / Users from various fields of expertise place a wide range of demands on the subject of time modelling in geographic information systems. Of particular interest in this area is often the analysis of the dynamics of spatial features. The demand of providing suitable methods for the collection and processing of time data has been the focus of diverse research projects and publications over the last decades. In the context of the previously mentioned development, an ISO standard (ISO19108:2002, Temporal Schema) regarding this issue was published in 2002. In general, the capabilities of today’s geographic information systems are far behind the theoretical potential provided by this ISO standard. This bachelor thesis examines the feasibility of how the Temporal Schema of the ISO standard can be implemented in a Geodatabase with an abstract data type. Therefore necessary objects and functions are conceptualized. The aim is the integrated capture, management and analysis of instants, periods of time and simple temporal complexes. Furthermore, according to existing standards, a textual representation of objects is designed for the exchange of information between users and database systems. The practicability of the concept is examined with an implementation prototype in a PostgreSQL database, using the PostGIS extension. In summary, it can be said that the theoretical feasibility of this approach is proven, the details are discussed in this thesis.

Planning departments are besieged with temporal/historical information. While for many institutions historical information can be relegated to archives, planning departments have a constant need to access and query their historical information, particularly their historical spatial information such as zoning. This can be a cumbersome process fraught with inaccuracies due to the changing organizational methods and the extended historical legacies of most municipalities. Geographic Information Systems can be a tool to provide a solution to the difficulties in querying spatio-temporal planning data. Using a data model designed specifically to facilitate the querying of historical zoning information, queries can be performed to answer basic zoning questions such as "what is the zoning history for a specific parcel of land?" This work outlines this zoning data model, its implementation, and its testing using queries basic to the needs of planning departments.

Parc marin du Saguenay - Saint-Laurent, Groupe de recherche et d'éducation sur les mammifères marins, GREMM, excursions aux baleines, bélugas, Tadoussac, règlementation, ArcCatalog, ArcMap. / L'important volume des excursions de bateaux touristiques liées aux activités d'observation en mer des mammifères marins (AOM) dans le Parc marin Saguenay-Saint-Laurent (PMSSL) pourrait avoir un impact négatif sur la santé des baleines qui fréquentent cette région de l’estuaire du fleuve Saint-Laurent. Cette situation a poussé les gestionnaires du Parc à désirer un outil d'information et de gestion pour mieux suivre l’évolution des AOM. Le présent mémoire décrit la conception de cet outil en proposant un modèle de l'excursion et des activités d'observation qui sert à l’élaboration d’une base de données. En s’appuyant sur le concept de la trajectoire spatiotemporelle, utilisée pour l'étude du comportement de déplacement basé sur l'activité, et sur le concept de l'objet mobile, développé en géomatique, notre modèle de données permet de reproduire graphiquement les trajectoires des excursions et l'enchaînement des activités qui ont lieu au cours de celles-ci. Le modèle est orienté objet et implanté dans une Geodatabase, une base de données relationnelle exploitable par le système d'information géographique (SIG) ArcGIS. Les objets de la base de données sont créés à partir des données de trois années de suivi des AOM réalisés par le Groupe de recherche et d'éducation sur les mammifères marins (GREMM). Nous montrons que le SIG peut exploiter la base de données de façon à répondre correctement aux besoins en information exprimés par les gestionnaires et que la représentation informatique des excursions sous la forme de trajectoires spatiotemporelles ouvre de nouvelles avenues de recherche sur les patrons d’activités et le comportement de déplacement des bateaux. / The considerable volume of commercial boat trips associated with whale-watching activities (WWAs) in the Saguenay-Saint-Laurent National Marine Park (PMSSL) may have negative impacts on the health of the whales visiting the Saint-Lawrence River estuary. This situation has led park officials to seek an appropriate information management system in order to better monitor WWAs. This paper contributes to the design of such a tool by modeling excursion patterns of WWAs, resulting in a database. Based on the space-time path concept used for the study of activity-based travel behavior as well as the mobile-object geomatical concept, our data-model enables us to plot the trajectories of the excursions and the sequence of activities taking place during those excursions. The model is object-oriented and built into a Geodatabase (an ArcGis-processable relational database). The objects in the database are based on data collected by the Marine Mammal Research and Education Group (GREMM) during a three-year WWA monitoring program. Finally, this report demonstrates that geographic information systems can be effectively used to process the database in a way that serves the needs of park officials, and that the representation of excursion data in a GIS opens up new avenues for research on the space-time pattern of observation activities and the travel behavior of boats.

L'important volume des excursions de bateaux touristiques liées aux activités d'observation en mer des mammifères marins (AOM) dans le Parc marin Saguenay-Saint-Laurent (PMSSL) pourrait avoir un impact négatif sur la santé des baleines qui fréquentent cette région de l’estuaire du fleuve Saint-Laurent. Cette situation a poussé les gestionnaires du Parc à désirer un outil d'information et de gestion pour mieux suivre l’évolution des AOM. Le présent mémoire décrit la conception de cet outil en proposant un modèle de l'excursion et des activités d'observation qui sert à l’élaboration d’une base de données. En s’appuyant sur le concept de la trajectoire spatiotemporelle, utilisée pour l'étude du comportement de déplacement basé sur l'activité, et sur le concept de l'objet mobile, développé en géomatique, notre modèle de données permet de reproduire graphiquement les trajectoires des excursions et l'enchaînement des activités qui ont lieu au cours de celles-ci. Le modèle est orienté objet et implanté dans une Geodatabase, une base de données relationnelle exploitable par le système d'information géographique (SIG) ArcGIS. Les objets de la base de données sont créés à partir des données de trois années de suivi des AOM réalisés par le Groupe de recherche et d'éducation sur les mammifères marins (GREMM). Nous montrons que le SIG peut exploiter la base de données de façon à répondre correctement aux besoins en information exprimés par les gestionnaires et que la représentation informatique des excursions sous la forme de trajectoires spatiotemporelles ouvre de nouvelles avenues de recherche sur les patrons d’activités et le comportement de déplacement des bateaux. / The considerable volume of commercial boat trips associated with whale-watching activities (WWAs) in the Saguenay-Saint-Laurent National Marine Park (PMSSL) may have negative impacts on the health of the whales visiting the Saint-Lawrence River estuary. This situation has led park officials to seek an appropriate information management system in order to better monitor WWAs. This paper contributes to the design of such a tool by modeling excursion patterns of WWAs, resulting in a database. Based on the space-time path concept used for the study of activity-based travel behavior as well as the mobile-object geomatical concept, our data-model enables us to plot the trajectories of the excursions and the sequence of activities taking place during those excursions. The model is object-oriented and built into a Geodatabase (an ArcGis-processable relational database). The objects in the database are based on data collected by the Marine Mammal Research and Education Group (GREMM) during a three-year WWA monitoring program. Finally, this report demonstrates that geographic information systems can be effectively used to process the database in a way that serves the needs of park officials, and that the representation of excursion data in a GIS opens up new avenues for research on the space-time pattern of observation activities and the travel behavior of boats. / Parc marin du Saguenay - Saint-Laurent, Groupe de recherche et d'éducation sur les mammifères marins, GREMM, excursions aux baleines, bélugas, Tadoussac, règlementation, ArcCatalog, ArcMap.

Η παρούσα έρευνα εντάσσεται στο πλαίσιο εκπόνησης διδακτορικής διατριβής στο Εργαστήριο του Τμήματος Αρχιτεκτόνων Μηχανικών του Πανεπιστημίου Πατρών. Η χαρτογράφηση της εγκληματικότητας (Crime Mapping) είναι η διαδικασία χρήσης της τεχνολογίας των Γεωγραφικών Συστημάτων Πληροφοριών και της εφαρμογής μεθόδων και τεχνικών της Χωρικής Ανάλυσης και της Χαρτογραφίας για την μελέτη και ανάλυση εγκληματικών συμβάντων. Ένα μεγάλο σύνολο ανθρωπίνων δραστηριοτήτων αναπτύσσεται, παρατηρείται και καταγράφεται στους αστικούς χώρους. Η επίδραση που ασκεί ο χώρος στην ανθρώπινη συμπεριφορά αλλά και η επίδραση της ανθρώπινης συμπεριφοράς που ασκείται πάνω στον χώρο είναι μια σχέση αμφίδρομη και αποτελεί σημαντικό στοιχείο για το σχεδιασμό. Συνεπώς, η δομή αυτή καθ’ αυτή των πόλεων, οι ήδη διαμορφωμένοι δημόσιοι αστικοί χώροι και οι κοινωνικό-οικονομικές αλλαγές που συντελούνται, συνιστούν μια πρόκληση για τους σύγχρονους σχεδιαστές του χώρου αυτού. Η έρευνα αφορά τη μελέτη της χωρικής κατανομής εγκλημάτων ιδιοκτησίας (απόπειρες, κλοπές, διαρρήξεις, ληστείες) στον αστικό ιστό της πόλης σε σχέση με χωρικά χαρακτηριστικά και κυρίως με πολεοδομικές παραμέτρους, ενώ παράλληλα εστιάζει με τρόπο ώστε να είναι δυνατή η εφαρμογή και ενσωμάτωση πορισμάτων της εγκληματολογίας στην διαδικασία του πολεοδομικού σχεδιασμού και γενικότερα του σχεδιασμού του χώρου. Ολοκληρώνεται, με συστηματική μελέτη περίπτωσης, μέσω αναλυτικής στατιστικής ανάλυσης και ανάλυσης γεωστατιστικής σχετικών δεδομένων που αφορούν το Σχέδιο Πόλεως Πατρών και τη δημιουργία γεωσυνόλων και θεματικών χαρτών που απεικονίζουν τη χωρική κατανομή του φαινομένου. Για την ανάλυση των χαρακτηριστικών της μελέτης περίπτωσης χρησιμοποιούνται χωρικές βάσεις δεδομένων με στοιχεία που η Γενική Αστυνομική Διεύθυνση Περιφέρειας Δυτικής Ελλάδος διέθεσε για την εκπόνηση της εργασίας: 4.770 απογραφικά δελτία εγκληματικών συμβάντων (εγκλήματα ιδιοκτησίας) που αφορούν το σύνολο τεσσάρων ετών από το 2007 έως και το 2010. Η εκπόνηση της έρευνας χρηματοδοτήθηκε από το Επιχειρησιακό Πρόγραμμα Εκπαίδευση και Δια Βίου Μάθηση, Ηράκλειτος ΙΙ, Υπουργείο Παιδείας και Θρησκευμάτων, ΕΣΠΑ 2007 – 2013, Ευρωπαϊκό Κοινωνικό Ταμείο. / This thesis has been elaborated in the Laboratory of Urban and Regional Planning, Department of Architecture, University of Patras. Crime Mapping is the process of using GIS technology and the implementation of Spatial Analysis and Mapping methods for studying and analysis of criminal incidents. In recent years, the rapid evolution of GIS technology and the availability of digital spatial data have strengthened the significant role of spatial analysis and GIS in crime analysis. A great deal of human activity is developed, observed and recorded in urban areas. The human impact is implemented on the urban areas as well as the urban areas have an impact on human behavior, setting a correlation that is an important design/planning characteristic. Consequently, the structure of modern cities, the existing urban public spaces along with the socioeconomic changes that happen constitute a challenge for contemporary designers and planners. The research is based on the study of spatial criminal distribution of property crimes (attempts, thefts, burglaries, robberies) in the urban web of a city, in terms of spatial characteristics and urban planning parameters while it focuses on criminology findings so as they can be incorporated and applied in urban planning in order to design and identify strategic orientations and create safer urban areas. It concludes with a systematic case study through an analytical statistical and geostatistical analysis of relevant data concerning the Master Plan of city of Patras and the development of geosets and thematic maps depicting the spatial distribution of the phenomenon. For that purpose, the Central Police Department of Patras offered to the university Laboratory all census forms of criminal acts and events (property crimes): 4.770 reports that took place at the city of Patras (Greece) during the years 2007 – 2010. This research has been co-financed by the European Union (European Social Fund – ESF) and Greek national funds through the Operational Program “Education and Lifelong Learning” of the National Strategic Reference Framework (NSRF) - Research Funding Program: Heracleitus II.

No description available.

The Oil Pollution Act of 1990 requires the development of Regional and Area Contingency Plans. For more than 20 years, the State of Florida, under both the Department of Environmental Protection and the Florida Fish and Wildlife Commission, has worked closely with the U.S. Coast Guard and the National Oceanic and Atmospheric Administration to develop these plans for coastal and marine oil spill response. Current plans, developed with local, state and federal stakeholder input, use geographic information systems (GIS) data such as location and extent of sensitive ecological, wildlife, and human-use features (termed Environmental Sensitivity Index data), pre-defined protection priorities, and spatially explicit protection strategies to support decision-making by responders (termed Geographic Response Plans). However, they are long overdue for improvements that incorporate modern oceanographic modeling techniques and integrated data from coastal ocean observing systems. Better understanding of circulation in nearshore and estuarine waters, at a scale consistent with other spatial data, is especially lacking in Area Contingency Plans. This paper identifies the gaps in readily available information on the circulation-driven causes and effects missing in current oil spill contingency planning and describes a sample methodology whereby multiple coastal and ocean spatial science disciplines are used to answer questions that no single, non-integrated discipline can answer by itself. A path forward for further integration and development of more comprehensive plans to better support coastal protection in Florida is proposed. The advances made here are applicable to other coastal regions of the world.

<p>Technological advances have a profound impact on people and the world in which they live. People use a wide range of smart devices, such as the Internet of Things (IoT), smartphones, and wearable devices, on a regular basis, all of which store and use location data. With this explosion of technology, these devices have been playing an essential role in digital forensics and crime investigations. Digital forensic professionals have become more able to acquire and assess various types of data and locations; therefore, location data has become essential for responders, practitioners, and digital investigators dealing with digital forensic cases that rely heavily on digital devices that collect data about their users. It is very beneficial and critical when performing any digital/cyber forensic investigation to consider answering the six Ws questions (i.e., who, what, when, where, why, and how) by using location data recovered from digital devices, such as where the suspect was at the time of the crime or the deviant act. Therefore, they could convict a suspect or help prove their innocence. However, many digital forensic standards, guidelines, tools, and even the National Institute of Standards and Technology (NIST) Cyber Security Personnel Framework (NICE) lack full coverage of what location data can be, how to use such data effectively, and how to perform spatial analysis. Although current digital forensic frameworks recognize the importance of location data, only a limited number of data sources (e.g., GPS) are considered sources of location in these digital forensic frameworks. Moreover, most digital forensic frameworks and tools have yet to introduce geo-contextualization techniques and spatial analysis into the digital forensic process, which may aid digital forensic investigations and provide more information for decision-making. As a result, significant gaps in the digital forensics community are still influenced by a lack of understanding of how to properly curate geodata. Therefore, this research was conducted to develop a transdisciplinary framework to deal with the limitations of previous work and explore opportunities to deal with geodata recovered from digital evidence by improving the way of maintaining geodata and getting the best value from them using an iPhone case study. The findings of this study demonstrated the potential value of geodata in digital disciplinary investigations when using the created transdisciplinary framework. Moreover, the findings discuss the implications for digital spatial analytical techniques and multi-intelligence domains, including location intelligence and open-source intelligence, that aid investigators and generate an exceptional understanding of device users' spatial, temporal, and spatial-temporal patterns.</p>