Academic literature on the topic 'Cartographic information'

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Journal articles on the topic "Cartographic information"

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Klettner, Silvia. "More than identifiers: Map symbols and their connotative meaning." Abstracts of the ICA 2 (October 8, 2020): 1–2. http://dx.doi.org/10.5194/ica-abs-2-4-2020.

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Abstract. Cartographic maps are a form of communication. Through signs and symbols, they give rise to ideas and thoughts of geospatial phenomena, enabling us to relate to, think about, and to imagine events from a viewpoint beyond direct experience. By applying a mutually shared set of signs and semiotic rules, sheer unlimited, meaningful, novel messages about space and time can be communicated through maps. As such, maps are considered a means of conceiving, articulating, and structuring the human world (Harley, 1989).Maps are human-made artifacts, based on a myriad of choices concerning what to communicate and how to communicate. Maps are, therefore, never neutral but based on decisions which will influence how maps are perceived, how information is interpreted, and how phenomena and events are imagined (Chandler, 2007; Monmonier, 1996). Cartographic communication, therefore, requires deliberate choices to share and express information successfully. To this day, the cartographer faces the challenge of near-infinite variations of visual variables to choose from. Yet, which ones are most suitable for a given context, for a given type of spatial information, object, or phenomenon? The choice for the aptest cartographic signifier is still a challenging task. In cartography, there remains a need for a differentiated understanding of how visual variables can be used to encode information (MacEachren et al., 2012).While all map signs can be considered to be identifiers which aim to denote and inform about spatial phenomena, research from related fields show that signs and symbols may also imbue connotative qualities that influence human affect and modulate cognitive processes (e.g. Feldman Barrett et al., 2007; Loftus & Palmer, 1974). In as far as cartographic semiology provides a theoretical framework addressing the denoting qualities of cartographic visual variables (Bertin, 1974), it, hitherto, does not encompass their connotative effects on human affect, perception, and cognition. At the same time, empirical research on the connotative meaning of map signs is still scarce, and semiotic differentiations between the denoting and connoting qualities of signifiers are often neglected in cartographic research and applications of semiotics. Consequently, “the difference of what a map sign means and what it represents has become blurred” (MacEachren, 1995, p.245).Between the intersection of psychology, cartography, and semiotics, this research draws attention to the connotative qualities of shape symbols in cartographic communication. In qualitative and quantitative empirical studies, abstract map symbols are studied in cartographic and non-cartographic contexts, and their connotative effects on human judgments and affective responses are explored (Klettner, 2019, 2020). Shape symbols, in these studies, refer to commonly used graphic variables in visual communication and thematic cartography (e.g. circle, triangle, square, etc.) to indicate nominal data. Findings strongly indicate that some map symbols do not only depict and denote but also express and connote and that these connotative qualities can be as powerful as to modulate affective responses and cognitive processes, such as influencing judgments about the depicted phenomena.A better understanding of how map signs and symbols are perceived can allow for more accurate discrimination between them. By unraveling some of the connotative qualities of cartographic point symbols, this research aims to contribute towards more informed choices and towards creating more effective and associative cartographic visualizations.
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Petkov, Dobrin, and Temenoujka Bandrova. "Classification of cartographic models according to their content, dimensionality, material of production and types of reality." InterCarto. InterGIS 26, no. 1 (2020): 434–46. http://dx.doi.org/10.35595/2414-9179-2020-1-26-434-446.

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Cartography as one of the most ancient science and practice supply users with cartographic models and deliver them with geospatial information. Now in the days of technological revolution and digital earth we cannot find clearly classification of cartographic models including the latest achievements of science, technics and methodology. Several classifications, mainly of maps are shown and critical review is done. It is visible that no standardization in this field. Cartography as a mathematical science need classification system of its models, data and information. It is needed to everybody who make and use cartographic models. The classification system offers a possible method for selecting a suitable model that can be used to visualize a data set or theory. The point of classification is to take large number of observations and group them into data ranges or classes. This paper represents an information about cartographic models and make attempt to classify them according to their content (general, thematic, specialized), dimensionality (2D, 2.5D, 3D, 4D, multidimensional), material of production (paper / hard base, digital, anaglyph, holographic, web), and types of reality (virtual, augmented, physical). This is done on the base of new cartographic models appeared with technical innovation and computer-aided systems used in cartography nowadays.
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McHaffie, Patrick, Sona Karentz Andrews, Michael Dobson, and Anonymous Anonymous. "Ethical Problems in Cartography: A Roundtable Commentary." Cartographic Perspectives, no. 07 (September 1, 1990): 3–13. http://dx.doi.org/10.14714/cp07.1095.

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The problem of defining and actualizing standards of ethical conduct troubles many professions, including cartography. In an attempt to formalize the ethical discourse in cartography the editors of Cartographic Perspectives invited five contributors to discuss what they perceive as important ethical problems in the discipline. The contributors were selected from the three major sectors of the cartographic enterprise: commercial mapping organizations, government mapping agencies, and university geography departments offering cartography programs. The contributors identify personal and institutional vigilance in product quality assurance, map plagiarism through violation of copyright law, and conflicts of interest as important ethical issues. The commentary concludes by questioning the nature and validity of cartography's claim to truth ("accuracy"), and asserts that cartographic ethics cannot be extricated from the values of the larger society which commissions the production of cartographic information.
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Gillispie, James. "Cartographic Information: NCIC Newsletters." Serials Review 11, no. 4 (December 1985): 23–25. http://dx.doi.org/10.1080/00987913.1985.10763649.

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Malhotra, Rakesh, Terry McNeill, Carrie Francis, and Tim Mulrooney. "Cartographic Presentation as the Central Theme for Geospatial Education." Abstracts of the ICA 1 (July 15, 2019): 1. http://dx.doi.org/10.5194/ica-abs-1-237-2019.

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<p><strong>Abstract.</strong> North Carolina Central University is committed to student education and training in cartography and geospatial sciences. This paper demonstrates the importance of applying cartographic principles to train students to convert historical deed records into geospatial data. Students were required to take text information from the 1960s and input this information it into a spatial database. The historical information was recorded on typed deeds in COGO (direction-distance) and the historic coordinate system of 1927 in the 1960s. Students applied cartographic principles that were used to identify contextual and spatial variations and anomalies to flag areas and records that didn’t meet project specifications and to trouble shoot conflicting information.</p><p>This paper demonstrates the usefulness of using cartography as a tool to educate students in allied aspects of geospatial sciences such as creating and managing spatial data. For example, students used tools such as markers and color coding to identify areas of overlap and areas of mismatched records (Figure 1). The authors found that using cartography helped enhance the spatial understanding of the project for students.</p><p>Education is the foundation of projects at North Carolina Central University and cartography has demonstrated appeal at the university level. Various geospatial aspects such as datums and projections, overlays, gaps, overlaps, and converting written information to spatial (geometric) information lend themselves well to cartographic principles. Cartography is an essential element that supports learning and teaching of spatial information as demonstrated by this project. Students were in a better position to understand and detect spatial anomalies with help from cartography than they were without using cartography and relying solely of written information. This enhanced their understanding and use of spatial data.</p>
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Suazo, Antonio. "A new method for using historical street photography collections as a primary source for cartographic production." Abstracts of the ICA 2 (October 8, 2020): 1–2. http://dx.doi.org/10.5194/ica-abs-2-24-2020.

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Abstract. The production of historical cartographies with the aid of digital tools has become in recent years a very active field of study, especially in urban heritage research. In this way, contributions from disciplines such as computer vision or remote sensing allow today to integrate data from various documentary records, enriching the available urban historiography, and enabling new readings on the relationship between historical cartography and contemporary sources of information. Despite this, little attention has been paid to the use of urban street photography, which continues to be used mostly to confirm or validate cartographic hypotheses, but not as a primary source of information. Among other causes, this is because there are no standardized procedures to extract the information directly from the photographs, nor with methods that allow addressing the divergences between captures from various locations and times.To overcome this situation, a new methodology is proposed to incorporate collections of historical photographs into a cartographic creation process, for the recovery and direct use of the information contained in them. Throughout a workflow, the proposal provides special support for two sub-processing steps: i) the possibility of comparatively studying the information from various photographs, and ii) the possibility of managing and taking into account the differences in dates between different shots. For this, the proposal transfers the recovered information from the photographs (in a 3D coordinate system) to a single cartographic representation (in a 2D coordinate system), to support that data management and decision making take place directly in the map view. This is intended to overcome the practice of using the map to ‘pass clean’ discoveries made with other means and to restore instead the notion of cartographic representation as a detection and direct investigation tool.The work considers the evaluation of the proposed method through the application in a case study. We worked with the restitution of the disappeared tram system of Santiago, Chile (1900–1945) through the cartographic representation of its extinct network of railway lines, of which only some isolated fragments remain. The visual documentation was provided by the Chilectra photographic archive (1921–27) – currently managed by the Photographic Archive of the National Library of Chile – which documented the extent of the tracks layout and its installation process (Figure 1a). Thus, around 200 scanned historical photographs were reviewed and processed with the proposed method, and their information made available to a cartographic production and management process (Figure 1b), based on the historical cartography of Santiago from Hidalgo et al (2011) and Salas (2012). Finally, the obtained data is evaluated (Figure 2), identifying scopes on the recovered information and on the characteristics that the photographs must meet in the first instance to be processed.The satisfactory results obtained show that the proposed approach and method allow historical photography to be used directly within a cartographic process, as a primary source of information. This reinforces the idea of the place that corresponds to these records within the spectrum of historiographic sources, along with textual, planimetric, and other descriptions of urban interest. Likewise, the work reflects on the approach that should prevail to use the map as a research tool, and on the possibilities that such a process opens, significantly improving the use of historical photography for the study of urban heritage with cartographic representations.
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Gartner, Georg, Menno-Jan Kraak, Dirk Burghardt, Liqiu Meng, Juliane Cron, Corné van Elzakker, and Britta Ricker. "Envisioning the future of academic cartographic education." Abstracts of the ICA 1 (July 15, 2019): 1–2. http://dx.doi.org/10.5194/ica-abs-1-89-2019.

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<p><strong>Abstract.</strong> Why do we teach cartography? The need for cartographic education:</p><p>In our day to day life, on an individual or societal level there is a continual need or even demand for geospatial information. On an individual level this need is expressed by questions like: Where am I?, How far away is my new doctor’s office?, Which route should I take to get to my destination based on current traffic patterns? Other questions may include: What is the spatial extent of my land parcel? What do I have permission to build on my parcel? On a societal level questions include: What cities suffer from high unemployment? What are the most efficient spots to build a new wind farm? Where is the optimal place to build a new road without fragmenting important species habitats? To offer answers to these questions, geographic information systems (GIS) including tools and instruments have been developed. The most important communication tool to foster decision making, as part of a GIS, is the map. Reality is too complex to comprehend with the naked eye. Therefore patterns are often missed, maps and other cartographic models are an interface between humans and the reality used to abstract, symbolized, a simplify view of the world. These maps then allow us to view spatial patterns and relationships between objects in the world. The world cannot do without maps. Why? Because they tell us about spatial issues on both local and global scale that influence our lives. How? Maps are the most effective and the most efficient tools to into and overview of geographical data which help us answer spatio-temporal questions and to provide new insight.</p><p> </p><p>What is ongoing in our world? Trends in our domain: yesterday, today and tomorrow:</p><p>Looking at the timeline of our domain, cartography, we could argue that after a long period where maps where seen as artifacts, maps are now considered to be interactive and dynamic (web) services, and in the near future we move to human centered cognitive map displays that are immersive and ubiquitous. Yesterday, the map could be considered an artifact, a static object, on paper or on a screen. The map stores the information and can no longer be changed. The user did not play a prominent role in map design. Today, with the internet, there has been a huge increase in data access and generation resulting in maps being produced and used especial to satisfy individual location-based queries such as ’Where am I right now’ and ‘How-do-I-get-there?’ questions. Societal questions are answered by maps available via automated services accessible via dedicated portals. Today maps are no longer artifacts, but provided as a digital map services. However, tomorrow the map will yet again be different. We are able to sense and monitor the world real time and ubiquitously, including human users’ spatial abilities, emotions, needs and requirements. With developments in interface design including more opportunities for 3d/4d/Virtual Reality/Augmented Reality Human-Computer-Interfaces are becoming even "closer" to our human processing system. Maps will increasingly become human-centered, highly interactive, dynamic and adjustable visual displays.</p><p> </p><p>Purpose: What are the cartographic consequences of these developments? Required cartographic competences:</p><p> The above developments have resulted in the expansion of what define the existing established cartographic method: making geospatial data and information accessible for users to foster discovery and insight into and overview of spatiotemporal data. Map design, including fundamentals such as projection, scale, generalization and symbolization, remain core to cartography. Yesterday, cartographic education was focused on how to optimally create fixed graphical representations at a defined scale constrained by the media, but with an eye for syntactical as well as graphical/aesthetical quality. Today knowledge and skills cartographers require have expanded, and they include an understanding of Spatial Data Infrastructures (SDI) that house Big Data and Data Science, Web Services, Programming, Style Definitions, Algorithms, Semantic web and Linked Data and Interactivity and other relevant technological skills. Increasingly, more attention has also been, and will have to be, paid to use and user (requirement) analysis and usability assessment. Users will simple not use cartographic services that are not enjoyable and do not help them meet their goals. We will continue to conduct usability evaluations in new sensing and map display environments. Based on technological advances and social uptake thereof, tomorrow will yet again ask for an adaption of the cartographic education and research dealing more and more with the "human" embodied experience.</p><p> Figure 1a shows the relation among the current skills and competences a cartographer needs. In the center of the triangle the map and the cartographic method. Data, Media and Users are found around. Knowledge and skills about data handling refer to selection, integration and abstraction, as well as analysis. Media skills and knowledge are about the interface, interaction, adapted design, technology and coding. Users refers to usability (enjoyment), cognition, perception, sensors (robots) and requirements. In Figure 1b the changing paradigm of the map as interface between human and reality as seen yesterday, today and tomorrow.</p><p> How do we do it? Our MSc Cartography:</p><p>The Erasmus Mundus Master of Science in Cartography program is characterized by its worldwide unique profile and comprehensive and in-depth cartographic lectures and lab works. All four partner universities (see involved authors) jointly developed and defined the learning outcomes after intensive cooperation and consultation. The program takes all theoretical as well as practical aspects of the broad and interdisciplinary field of cartography into account. Graduates of the program are able to meet the variety of requirements placed on a cartographer today. </p><p>An obvious strength of this program is the clear research-driven orientation of selected lectures, e.g. visual analytics, web and mobile cartography and the close binding of M.Sc. topics to ongoing research projects. Students in the Cartography program learn how to develop and evaluate cartographic tools on the basis of firmly established theories and methods. The focus lays in developing and applying scientific methods and techniques to improve geo-information services for a diverse range of heterogeneous users.</p><p> Another added value of the program is its educational execution in locations across Europe, a historic center of excellence in the field of cartography, integrating it within interdisciplinary fields. Excellently educated students from this program will fill the gaps not only in the cartographic research community and geosciences, but also in other related research fields that address the global challenges as defined by bodies like the United Nations or the European Union.</p>
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Ostrowski, Wiesław. "Stages of Development of Cartography as a Science." Miscellanea Geographica 13, no. 1 (December 1, 2008): 267–76. http://dx.doi.org/10.2478/mgrsd-2008-0027.

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Abstract Three essential periods may be singled out in the development of cartography as a science: 1. From the beginning of the last century to the mid-sixties is the period of development of cartography as a distinct science. 2. The period dating from the mid-sixties till the eighties is the golden age of development of theoretical cartography with special amplification of discussions on the subject of the theoretical fundamentals of cartography. At the end of the former period and at the beginning of the latter, cartography finally distinguished itself as an independent science. In 1959, the International Cartographic Association was founded. In 1961, the International Yearbook of Cartography was published for the first time and beginning in 1969, Polski Przegląd Kartograficzny (the Polish Cartographic Review). A year earlier, Komisja Kartograficzna Polskiego Towarzystwa Geograficznego (the Cartographic Commission of the Polish Geographical Society) was established. 3. Since the mid-eighties, and even somewhat earlier, use of new IT technologies, especially interest in the map as an element of geographic information systems, has become the dominating trend in cartography.
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Radunzel, Joel Douglas. "Using the Right Tool: David Woodward's Suggested Framework and the Study of Military Cartography." Cartographic Perspectives, no. 81 (November 9, 2015): 23–37. http://dx.doi.org/10.14714/cp81.1281.

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In 1974 David Woodward suggested a framework for organizing the study of the history of cartography that unified on one hand the process and the output of cartographic production, and on the other hand the four sequential phases of cartographic production, from information gathering through document use. In a survey of scholars who have cited Woodward’s model I note that, while this framework has influenced the conceptual development of map history, it has rarely been applied rigorously to specific instances of mapping. I argue that this model is an underutilized tool in cartographic scholarship, and that Woodward’s matrix is ideally suited to examining how military units carry out mapping. Because military units, particularly large ones, are in effect self-contained systems that cyclically produce, use, and reproduce their own maps, I contend that scholars can modify Woodward’s original model in content, though not in structure, to study military mapping activities. To illustrate this point, I present as a case study the British military’s Egyptian Expeditionary Force (EEF) during the Gaza Campaign of late 1917. This force performed a broad range of mapping activity, much of it innovative. A modification of the Woodward framework that brings together the specific elements of the EEF’s information gatherers, information processors, and map users into a single cohesive cartographic system illustrates the value and utility of this framework for studying the history of military cartography.
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Stevens, Alan R. "The National Cartographic Information Center." Science & Technology Libraries 5, no. 3 (April 4, 1985): 25–38. http://dx.doi.org/10.1300/j122v05n03_03.

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Dissertations / Theses on the topic "Cartographic information"

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Mayo, Timothy Robert. "Intelligent systems for cartographic data capture." Thesis, University of Cambridge, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.357566.

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Richard, Gina Dawn. "Radical Cartographies: Relational Epistemologies and Principles for Successful Indigenous Cartographic Praxis." Diss., The University of Arizona, 2015. http://hdl.handle.net/10150/578886.

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Indigenous cartography is based on a relational epistemology that works within a system where "place" and "ways of knowing" are intimately tied to Native communities' notions of kinship, oral tradition, and traditional ecological knowledge acquired over the millennia. It brings to life a place where mapping and geography cease to be simply Cartesian coordinates on a Euclidean plane and instead become storied landscapes. Indigenous cartography can be described as "radical" because it represents a departure from traditional Western ways of mapping and affirms an Indigenous political, economic and cultural sovereignty. As an intensely political act, Indigenous cartography can be an important tool used by Indigenous people to assert sovereignty in a bottom-up approach to land claims, in the management of cultural resources, and even to claim human remains for repatriation and reburial. If Indigenous groups wish to successfully utilize geospatial technologies as legal strategies, it will first require the development of the necessary infrastructure and training of Geographic Information Systems (GIS) specialists from within. In much the same way that colonial practices of the past worked to achieve hegemony through the making of political and cultural boundaries, Indigenous cartography can work to dismantle these same colonial boundaries. A theory and methodology of Indigenous cartographic praxis is in use among some First Nations in British Columbia. However no "best practices" yet exist for the Indigenous use-and-mapping discipline. Consequently in the United States, Indigenous mapping is still considered an emerging approach. Therefore, can American Indian political and cultural sovereignty be supported by the implementation of Indigenous geospatial technologies? This dissertation will examine the British Columbian model and distill principles that can be successfully implemented by U. S. Native American communities who wish to develop capacity for this emerging geospatial technology based on the success of the First Nations model.
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Batsos, Epameinondas, and Atta Rabbi. "Clustering and cartographic simplification of point data set." Thesis, KTH, Geodesi och geoinformatik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-79892.

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Edmonds, Alan Kirk. "A framework for formal specification of the cartographic user interface." The Ohio State University, 1997. http://catalog.hathitrust.org/api/volumes/oclc/39271704.html.

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Rybaczuk, Krysia. "Error processes in the integration of digital cartographic data in geographic information systems." Thesis, Durham University, 1992. http://etheses.dur.ac.uk/6210/.

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Errors within a Geographic Information System (GIS) arise from several factors. In the first instance receiving data from a variety of different sources results in a degree of incompatibility between such information. Secondly, the very processes used to acquire the information into the GIS may in fact degrade the quality of the data. If geometric overlay (the very raison d'etre of many GISs) is to be performed, such inconsistencies need to be carefully examined and dealt with. A variety of techniques exist for the user to eliminate such problems, but all of these tend to rely on the geometry of the information, rather than on its meaning or nature. This thesis explores the introduction of error into GISs and the consequences this has for any subsequent data analysis. Techniques for error removal at the overlay stage are also examined and improved solutions are offered. Furthermore, the thesis also looks at the role of the data model and the potential detrimental effects this can have, in forcing the data to be organised into a pre-defined structure.
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Papšys, Kęstutis. "Methodology of development of cartographic information system for evaluation of risk of extreme events." Doctoral thesis, Lithuanian Academic Libraries Network (LABT), 2013. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2013~D_20130220_160846-94374.

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The thesis describes the methodology of evaluation of extreme events and development of cartographic information system for this purpose. Existing complex risk assessment systems in the world are analysed highlighting their advantages and disadvantages. Author proposes original integrated risk assessment methodology based on integration of information from different geographic data sources. A cartographic information system designed by the author allows for the assessment of extreme events threats and risks. The developed methodology includes methodology of cartographic information system component development and deployment. The work describes necessary extreme events data, methods of their collection and database design principles. The created model enables the user to collect the data on extreme hazard events and to aggregate several threats into a single synthetic threat. The concepts of risks and threats and risk assessment methodology are explained. The author introduces project of an information system operating in the Lithuanian Geographic Information Infrastructure and integrated in the Lithuania spatial information portal. The system is tested with several consistent spatial data sets for Lithuania. The thesis presents experimental results that show increased geological and meteorological risk areas in Lithuania. Finally, methodological and practical conclusions about the methods and system customization, reliability and compliance with standards are presented.
Disertacijoje aprašoma ekstremalių įvykių vertinimo kartografinės informacinės sistemos kūrimo metodologija. Analizuojamos pasaulyje egzistuojančios kompleksinės rizikos vertinimo sistemos išryškinami jų trūkumai ir privalumai. Atliktos analizės pagrindu sukuriama originali daugeliu duomenų šaltinių pagrįsta kompleksinio rizikos vertinimo metodologija ir aprašoma autoriaus suprojektuota informacinė sistema leidžianti vertinti ekstremalių įvykių grėsmes ir riziką. Sukurta metodologija apima kartografinės informacinės sistemos sudedamųjų dalių kūrimo ir diegimo metodiką. Aprašomi sistemos veikimui reikiamų duomenų tipai, jų surinkimas, ekstremalių įvykių duomenų bazės kaupimo principai, sukuriamas ekstremalių įvykių grėsmių skaičiavimo ir kelių grėsmių apjungimo į vieną sintetinę grėsmę modelis. Aprašomas rizikos ir grėsmės santykis ir rizikos vertinimo metodologija. Disertacijoje taip pat pateikiama visos sistemos, veikiančios Lietuvos geografinės informacijos infrastruktūroje, ir integruotos Lietuvos erdvinės informacijos portale projektas. Sistema išbandyta su Lietuvoje pasiekiamais ir realiai egzistuojančiais erdvinių duomenų rinkiniais. Pateikiami eksperimento metu gauti rezultatai, rodantys padidintų geologinių ir meteorologinių rizikos rajonus Lietuvoje. Darbo pabaigoje pateikiamos metodologinės ir praktinės išvados apie metodų ir sistemos pritaikymą, patikimumą ir atitikimą standartams.
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De, Klerk Jeanne Louise. "Cartographic GIS standards adopted by the Department of Water Affairs and Forestry : a case study." Master's thesis, University of Cape Town, 1996. http://hdl.handle.net/11427/17480.

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Includes bibliographies.
The Department of Water Affairs and Forestry (DWAF) acquired a Geographic Information System (GIS) in 1987. The purpose of acquiring such a system was to aid the department in implementing their water resource management strategy of that time. On acquiring this system it was well recognised that the GIS would need to communicate geo-referenced information, generated by analysis and modelling to decision makers by means of graphic representations or maps (Olivier et al., 1990: 14 73). Towards the end of 1990 it became apparent that the department needed to standardise cartographic output of this system. Maps on the same theme, which were produced at different sites were not comparable and graphic communication was not effective. A consultant was appointed, who, in conjunction with the departmental digital cartographer, established criteria and standards which were flexible enough to accommodate mapping on a wide variety of themes. These standards were implemented, to a limited extent in July 1994. Standards were set for map encoding, map content and map composition. This report investigates how effective these standards have been. The effectiveness of these standards have been measured in terms of the five recognised cartographic design principles that have been identified by Robinson et al. (1984), Wood (1992) and Dent (1990). These include the clarity and legibility of maps, the distinction between figure and ground, the hierarchical organisation of mapped information, the visual contrast of marks on maps and the visual balance or layout of the finished map. A sample of maps made after the implementation of cartographic standards at the department was compared to a sample of comparable maps made prior to the implementation of these standards. In a large organisation like the department the success of such standards do not depend on the standards alone but also on their implementation. Implementation related problems were identified by comparing standardised maps with the standards. The outcome of the investigation proved that the effectiveness of graphic communication had indeed improved albeit to a varying degree. In most cases the standards were adequate and the main problems actually lay with their implementation. Recommendations on the implementation and the few aspects of the standards that require amendment have been included in this report.
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Meneguette, Arlete Aparecida Correia. "Cartographic accuracy and information content of space imagery for digital map compilation and map revision." Thesis, University College London (University of London), 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.295491.

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Fabbri, Michael Charles. "Working towards a cartographic lexicon, the role of units, structure, content, and expression in geographic information." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0019/MQ53265.pdf.

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Seo, Young-Woo. "Augmenting Cartographic Resources and Assessing Roadway State for Vehicle Navigation." Research Showcase @ CMU, 2012. http://repository.cmu.edu/dissertations/207.

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Maps are important for both human and robot navigation. Given a route, drivingassistance systems consult maps to guide human drivers to their destinations. Similarly, topological maps of a road network provide a robotic vehicle with information about where it can drive and what driving behaviors it should use. By providing the necessary information about the driving environment, maps simplify both manual and autonomous driving. The majority of existing cartographic databases are built, using manual surveys and operator interactions, to primarily assist human navigation. Hence, the resolution of existing maps is insufficient for use in robotics applications. Also, the coverage of these maps fails to extend to places where robotics applications require detailed geometric information. To augment the resolution and coverage of existing maps, this thesis investigates computer vision algorithms to automatically build lane-level detailed maps of highways and parking lots by analyzing publicly available cartographic resources, such as orthoimagery. Our map-building methods recognize image patterns and objects that are tightly coupled with the structure of the underlying road network by 1) identifying, without human intervention, locally consistent image cues and 2) linking them based on the obtained local evidence and prior information about roadways. We demonstrate the accuracy of our bootstrapping approach in building lane-level detailed roadwaymaps through experiments. Due to expected abnormal events on highways such as roadwork, the geometry and traffic rules of highways that appear on maps can occasionally change. This thesis also addresses the problem of updating the resulting maps with temporary changes by analyzing perspective imagery acquired from a vision sensor installed on a vehicle. To robustly recognize highway work zones, our sign recognizer focuses on handling variations of signs’ colors and shapes. Sign recognition errors, which are inevitable, can cause our system to misread temporary highway changes. To handle potential errors, our method utilizes the temporal redundancy of sign occurrences and their corresponding classification decisions. We demonstrate the effectiveness and robustness of our approach highway workzone recognition through testing with video data recorded under various weather conditions. Two major results of this thesis work are 1) algorithms that analyze orthoimages to produce lane-level detailed maps of highways and parking lots and 2) on-vehicle computer vision algorithms that are able to recognize temporary changes on highways. Our maps can provide detailed information about a route, in advance, to either a human driver or a self-driving vehicle. While driving on highways, our roadway-assessing algorithms enable the vehicle to update the resulting maps with temporary changes to the route.
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Books on the topic "Cartographic information"

1

Grafarend, Erik W. Map projections: Cartographic information systems. Berlin: Springer, 2006.

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Geographic information systems and cartographic modeling. Englewood Cliffs, N.J: Prentice Hall, 1990.

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Tomlin, C. Dana. GIS and cartographic modeling. Redlands, Calif: Esri Press, 2012.

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Morris, Barbara. CARTO-NET: A cartographic information retrieval system. [London]: British Library Research and Development Dept., 1987.

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Perkins, C. R. Operationalizing a sheet based cartographic information retrieval system. [London: British Library], 1993.

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Rybaczuk, K. Y. Interfacing digital cartographic data in environmental information systems. Durham: University of Durham, Department of Geography, 1986.

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Locality and information structure: A cartographic approach to Japanese. Amsterdam: John Benjamins Pub., 2007.

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Cartographic design using ArcView GIS. Albany, N.Y: OnWord Press, 2001.

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Information graphics: A survey of typographic, diagrammatic and cartographic communication. London: Trefoil Publications, 1989.

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1945-, Taliaferro Henry G., Kenamore Jane A. 1938-, and Haller Uli 1957-, eds. Cartographic sources in the Rosenberg Library. College Station: Published for the Rosenberg Library by the Texas A & M University Press, 1988.

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Book chapters on the topic "Cartographic information"

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Shekhar, Shashi, and Hui Xiong. "Cartographic Information System." In Encyclopedia of GIS, 70. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_117.

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Chen, Yufen. "Cartographic Theory." In Advances in Cartography and Geographic Information Engineering, 41–73. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0614-4_2.

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Wu, Fang, and Jiayao Wang. "Cartographic Generalization." In Advances in Cartography and Geographic Information Engineering, 151–211. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0614-4_5.

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Steinhauer, Joe Heike, Tom Wiese, Christian Freksa, and Thomas Barkowsky. "Recognition of Abstract Regions in Cartographic Maps." In Spatial Information Theory, 306–21. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45424-1_21.

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Cartwright, William. "Media and Communications Systems in Cartographic Education." In Teaching Geographic Information Science and Technology in Higher Education, 359–82. Chichester, UK: John Wiley & Sons, Ltd, 2012. http://dx.doi.org/10.1002/9781119950592.ch23.

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Reitz, Thorsten. "A Mismatch Description Language for Conceptual Schema Mapping and Its Cartographic Representation." In Geographic Information Science, 204–18. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15300-6_15.

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Touya, Guillaume, Cécile Duchêne, and Anne Ruas. "Collaborative Generalisation: Formalisation of Generalisation Knowledge to Orchestrate Different Cartographic Generalisation Processes." In Geographic Information Science, 264–78. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15300-6_19.

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Kubik, Tomasz, and Adam Iwaniak. "Information Retrieval in the Geodetic and Cartographic Documentation Centers." In Studies in Computational Intelligence, 95–106. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03958-4_9.

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Li, Chengming, Xiaoli Liu, Wei Wu, and Yong Yin. "Study on Recognition and Management of Cartographic Topology Preprocessing Mode." In Communications in Computer and Information Science, 228–33. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3969-0_26.

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Zhang, Xiaopei, Tailai Yan, Xiaogang Cui, and Dehai Zhu. "Quantitatively Optimized Selection of Proper Scale in Land Use Cartographic Generalization." In IFIP Advances in Information and Communication Technology, 169–78. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-0209-2_19.

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Conference papers on the topic "Cartographic information"

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Komissarova, Tatyana, Elena Gadzhieva, and Maria Lebedeva. "INFORMATION AND CARTOGRAPHIC APPROACH TO VISUALIZATION OF EDUCATIONAL INFORMATION." In 20th International Multidisciplinary Scientific GeoConference Proceedings SGEM 2020. STEF92 Technology, 2020. http://dx.doi.org/10.5593/sgem2020/5.2/s22.094.

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Yang, Yong, Lin Li, and Xu Zhang. "Cartographic label placing based on tabu search heuristic." In Geoinformatics 2006: Geospatial Information Science, edited by Jianya Gong and Jingxiong Zhang. SPIE, 2006. http://dx.doi.org/10.1117/12.712736.

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Goczyla, Krzysztof, and Wojciech Waloszek. "CartoMetric: Semantic ontology evaluation with cartographic methods." In 2008 1st International Conference on Information Technology (IT 2008). IEEE, 2008. http://dx.doi.org/10.1109/inftech.2008.4621703.

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Liu, Haiyan, Xin Wang, Jihua Xiao, and Shaomei Li. "Analog/digital map conversion and cartographic information content changes." In Geoinformatics 2007, edited by Manchun Li and Jiechen Wang. SPIE, 2007. http://dx.doi.org/10.1117/12.759684.

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Maruyama, Ken, Shigeo Takahashi, Hsiang-Yun Wu, Kazuo Misue, and Masatoshi Arikawa. "Scale-Aware Cartographic Displacement Based on Constrained Optimization." In 2019 23rd International Conference Information Visualisation (IV). IEEE, 2019. http://dx.doi.org/10.1109/iv.2019.00022.

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Zheng, Chunyan, Qingsheng Guo, and Xiaochu Du. "The consistency assessment of topological relations in cartographic generalization." In Geoinformatics 2006: Geospatial Information Science, edited by Jianya Gong and Jingxiong Zhang. SPIE, 2006. http://dx.doi.org/10.1117/12.712901.

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Loukkal, Abdelhak, Vincent Fremont, Yves Grandvalet, and You Li. "Improving semantic segmentation in urban scenes with a cartographic information." In 2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV). IEEE, 2018. http://dx.doi.org/10.1109/icarcv.2018.8581165.

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Furnari, Mario M., and Carmine Noviello. "The integration of cartographic information into a content management system." In Electronic Imaging 2006, edited by Simone Santini, Raimondo Schettini, and Theo Gevers. SPIE, 2006. http://dx.doi.org/10.1117/12.642661.

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Huber, Reinhold, and Anselm Schmieder. "Automatic extraction of cartographic information from airborne interferometric SAR data." In Aerospace Remote Sensing '97, edited by Jacky Desachy and Shahram Tajbakhsh. SPIE, 1997. http://dx.doi.org/10.1117/12.295600.

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Sun, Lijian, Jiping Liu, Shenghua Xu, and Yi Zhu. "Cartographic symbols evaluation & extraction for event annotation." In 2010 2nd International Conference on Information Science and Engineering (ICISE). IEEE, 2010. http://dx.doi.org/10.1109/icise.2010.5688542.

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Reports on the topic "Cartographic information"

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Бондаренко, Ольга Володимирівна, Світлана Вікторівна Мантуленко, and Андрій Валерійович Пікільняк. Google Classroom as a Tool of Support of Blended Learning for Geography Students. CEUR-WS.org, 2018. http://dx.doi.org/10.31812/123456789/2655.

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Abstract. The article reveals the experience of organizing blended learning for geography students using Google Classroom, and discloses its potential uses in the study of geography. For the last three years, the authors have tested such in-class and distance courses as “Cartography and Basics of Topography”, “Population Geography”, “Information Systems and Technologies in Tourism Industry”, “Regional Economic and Social World Geography (Europe and the CIS)”, “Regional Economic and Social World Geography (Africa, Latin America, Asia, Anglo-America, Australia and Oceania)”, “Socio-Economic Cartography”. The advantages of using the specified interactive tool during the study of geographical disciplines are highlighted out in the article. As it has been established, the organization of the learning process using Google Classroom ensures the unity of in-class and out-of-class learning; it is designed to realize effective interaction of the subjects learning in real time; to monitor the quality of training and control the students’ learning achievements in class as well as out of it, etc. The article outlines the disadvantages that should be taken into account when organizing blended learning using Google Classroom, including the occasional predominance of students’ external motivation in education and their low level of readiness for work in the classroom; insufficient level of material and technical support in some classrooms; need for out-of-class pedagogical support; lack of guidance on the content aspect of Google Classroom pages, etc. Through the test series conducted during 2016-2017, an increase in the number of geography students with a sufficient level of academic achievements and a decrease of those with a low level of it was revealed.
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Demeuov, Аrman, Zhanna Tilekova, Yerkin Tokpanov, Olena Hanchuk, Natalia Panteleeva, and Iryna Varfolomyeyeva. Use of GIS technology in geographical education. EDP Sciences, June 2021. http://dx.doi.org/10.31812/123456789/4619.

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At the present stage, digital information technologies create a new education system focused on the global educational space. In general education schools, in connection with the adoption of the updated program, the section Geoinformatics and cartography provides for the use of developing a map-scheme, modeling and conducting small studies on the topic under study. As a result, digital technology has a place in geographical education. This is due to significant changes in the pedagogical and methodological approach in teaching geography and other disciplines. As a result, the education system has changed, the content of education has been updated, a new approach has appeared, a new attitude to geoinformation technologies in schools. The article discusses the importance of computer technologies in the education system, including the effectiveness and necessity of using geoinformation technologies. The article substantiates the relevance of the use of geoinformation technologies in the teaching of geography.
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Gestion des terres et des ressources par les communautés autochtones : Évaluation des besoins en données géospatiales, identification et analyse des données, volume 1, Besoins des Premières nations en information et en cartographie, expérience de dix processus d'aménagement du territoire au Canada. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2008. http://dx.doi.org/10.4095/306197.

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