PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Generalizacja map numerycznych - koncepcje i narzędzia. Cz. 1

Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
EN
Development of general economic maps in school geographical atlases until the end of 19th century. Part 1
Języki publikacji
PL
Abstrakty
PL
W artykule omówiono najnowsze poglądy i podejścia teoretyczne do generalizacji komputerowej. Na tym tle przedstawiono modele tego procesu oraz stosowane obecnie algorytmy i operatory, stanowiące składniki wiedzy proceduralnej systemów komputerowych służące do generalizacji map.
EN
The paper presents selected issues in automatic generalization, particularly in producing medium-scale maps from large-scale maps. The first part describes the development of ideas and research directions in generalization, as well as selected models of generalization. Due to the subjective nature of generalization, directly applying the traditional (manual) techniques of map generalization to computer systems is not possible. It is nessesary to use artificial intelligence methods and to formulate the problems from the standpoints of computer systems (R.B. McMaster 1991), such as the operators and alorithms for generalization, and the correctness crriteria. So far the attemps at automatic generalization have been limited to imitating the traditional approach. These focused on the geometric aspects of generalization of the separate map elements, mainly lines and points. However, most algorithms simplify all lines in the same way, and the total result is not as good as good as what is achieved using traditional methods (W. Tobler 1964, D.H. Douglas and T.K. Peucker 1973, D.M. Brophy 1973). Also the 'root law' of F. Topfer (1979) used in selecting map elements, ignores the specific features of elements. Less of a problem is qualitative generalization, i.e. the process of grouping the low level features into a feature of higher level. But here, too, some fundamental understanding of the characteristics of the domain and the related classification methods, is required. Recently, many researches have been trying to construct a computer system for map generalization at various scales and map contents, that would consider both qualitative and quantitative aspects of generalization (B.G. Nickerson, K.S. Shea 1992). They are based on a holistic approach to generalization and consider the following three aspects: 1) generalization models as the theoretical foundation for digital generalization, 2) processes and operators for generalization, 3) cartographic knowledge, encoded as rules. The models of generalization define the components of the process and relations between them. Among the most important models, developed from the point of view of computer systems are the models of: B.G. Nickerson and H. Freeman (1986), R.B. McMaster and K.S. Shea (1992), K. Brassel and R. Weibel (1988) as well as B. Powitz (1990), presented in the first part of the paper. An important aspect of those models are the operators and generalization knowledge which will be discussed in the second part of the paper.
Rocznik
Strony
79--88
Opis fizyczny
Bibliogr. 55 poz.
Twórcy
autor
  • Katedra Geodezji i Fotogrametrii Akademii Rolniczej we Wrocławiu
  • Instytut Cybernetyki Technicznej Politechniki Wrocławskiej
  • Zakład Kartografii Uniwersytetu Wrocławskiego
Bibliografia
  • Bader M., Weibel R., 1997, Detecting and resolving size and proximity conflicts in the generalization of polygonal maps. W: Proceedings of the 18th ICA International Cartographic Conference, Stockholm, Vol.1, s.1525-1532.
  • Baranowski M., Grygorenko W., 1974, Próba obiektywnego doboru osiedli na mapach z zastosowaniem maszyny cyfrowej. „Polski Przegl. Kartogr." T. 6, nr 4, s.149-158.
  • Brandenberger Ch., 1997, From large stale to smali stale maps by digitał cartographic generalization. Proceedings of the 18th ICA International Cartographic Conference, Stockholm, Vol.1, s. 996-1004.
  • Brassel K., 1985, Strategies for data models for computer-aided generalization. „Intern. Yearb. of Cartogr." Vol. 25, s.11-29.
  • Brassel K., Weibel R., 1988, A review and conceptual framework of automated map generalization. „Intern. Journ. of Geogr. Inform. Systems" Vol. 2, s.229-244.
  • Buttenfield B., McMaster R.B (ed.), 1991, Map generalization: making rules for knowledge representation. London, Longman.
  • Douglas D.H., Peucker T.K., 1973, Algorithms for the reduction of the number of points required to represent a digitized line or its caricature. „The Canadian Cartographer" Vol. 10, s.112-123.
  • Gartner G., 1997, Some aspects of formalizing cartographic knowledge - concerning the process of selection. W: Proceedings of the 18th ICA International Cartographic Conference, Stockholm, Vol. 3,1997, s. 1301-1308.
  • Genin B., Donnay J.P., 1997, Resolving conflicts in cartographic generalization with problem-resolution methods. W: Proceedings of the 18th ICA International Cartographic Conference, Stockholm, Vol. 1, s. 783-788.
  • Gower R., Pepper J., Edwards T., 1997,Land-plan - automated generalization comes of age. W: Proceedings of the 18th ICA International Cartographic Conference, Stockholm, Vol. 1, s. 126-133.
  • Grygorenko W., 1982, A statistical methods for determining of the density of objects on maps. „Geod. i Kartogr." T. 31, nr 1, s. 43-58.
  • lwaniak A., 1993, Baza danych a baza wiedzy. W: VIII Szkoła Kartograficzna, Wrocław, s. 9-16.
  • Kraak M.J., Ormeling F.J., 1996, Cartography: Visualisation of spatial data. Harlow, Longman, 222 s.
  • Lecordix F., 1997, Resolution des problemes de generalisation lies a la symbolisation dans PlaGe. W: Proceedings of the 18th ICA International Cartographic Conference, Stockholm, Vol. 1, s. 743-750.
  • Lee D., 1992, Cartographic generalization. Intergraph internal technical paper, 10 s.
  • Lee D., 1997, Understanding and deriving generalization rules. W: Proceedings of the 18th ICA International Cartographic Conference, Stockholm, Vol. 1, s. 1258-1265.
  • Leitner M., Buttenfield B.P., 1995, Acquisition of procedural cartographic knowledge by reverse engineering. „Cartography and GIS" Vol. 22, no. 3, s. 232-241.
  • Li Z., Openshaw S., 1990, Algorithms for automated line generalization based on a natural principle of objective generalization. „Intern. Journ. of Geogr. Inform. Systems" Vol. 4, s. 542-563.
  • Li Z., Openshaw S., 1993, A natural principie for the objective generalization of digital maps. „Cartography and GIS" Vol. 20, no. 1, s. 19-29.
  • Lichtner W., 1979, Computer-assisied process of cartographic generalization in topographic maps. „Geoprocessing" Vol. 1. s. 183-199.
  • Mackaness W.A., 1994, An algorithm for conflict identification and feature displacement in automated map generalization. „Cartography and GIS" Vol. 21, no. 4, s. 229-232.
  • Marino J., 1979, ldentification of characteristics along naturally occurring lines: an empincal study, „The Canadian Cartographer" Vol. 16, no. 1, s. 70-80.
  • McMaster R.B., 1991, Conceptual frameworks for geographical knowledge. W: Buttenfield B., McMaster R.B., Map generalization: Making mies for knowledge representation. London, Longman s. 21-39.
  • McMaster R.B., Shea K.S., 1992, Generalization in Digital Cartography. Assoc. of Amer. Geographers, Washington.
  • Morrison J., 1974, A theoretical framework for cartographic generalization with emphasis on the process of symbolization. „Intern. Yearb. of Cartography" 14, s. 115-127.
  • Muller J.C., 1989, Theoretical consideration for automated map generalization. „ITC Journal" Vol. 3, no. 4, s. 200-204.
  • Muller J., 1991, Building knowledge tanks for role based generalization. W: Proceedings of the 15th International Cartographic Conference, Bournemouth, Vol. 1, s. 257-266.
  • Muller J.C., Zeshen W., 1992,Area-patch generalisation: a competitive approach. „The Cartogr. Journ." Vol. 29, s. 137-144.
  • Nickerson B.G., 1988, Automated cartographic generalization for linear features. „Cartographica" Vol. 25, no. 3, s, 16-66.
  • Nickerson B.G., 1991, Knowledge engineering fur generalizatIon, [w]: Buttenfield B.P., McMaster R.B.: Map generalization: Making rules for knowledge representation, London, Longman, s.40-55.
  • Nickerson B.G, Freeman H., 1986, Development of a rule-based system for automatic map generalization. W: Proceedings, Second Intern. Sympos. on Spatial Data Handling, Washington, s. 537-556.
  • Pannekoek A,J., 1962, Generalizadon of cousliines and contours. „Intern. Yearb. of Cartogr." Vol. 2, s. 55-75.
  • Pawlak W., 1971, Charakter zniekształceń wybranych elementów treści mapy powstałych w procesie generalizacji. „Acta Univ. Wratislaviensis" Nr 133, Studia Geogr. t. 15, 112 s.
  • Pawlak W., 1972, Niektóre problemy generalizacji hipsometrii. „Acta Univ. Wratislaviensis" Nr 162, Studia Geogr. t. 16, 54 s.
  • Pawlak W., 1993, Komputerowa generalizacja rzek w świetle jednego eksperymentu. „Polski. Przegl. Kartogr." T. 25, nr 1, s. 1-13.
  • Perkal J., 1958, Próba obiektywnej generalizacji. „Geod. i Kartogr." T. 6, nr 2, s. 130-142.
  • Powitz B.M., 1990, Automationsgesttzte Generalisierung. „Kartogr. Nachrichten" Bd. 40, H. 2, s. 97-101.
  • Ratajski L., 1967, Phenomenes des points de generalisation. „Intern. Yearb. of Cartogr." Vol. 7, s. 143-151.
  • Ratajski L., 1973, Rozważania o generalizacji kartograficznej. „Polski Przegl. Kartogr." T. 5, nr 2, s. 49-55, nr 3, s.103-110.
  • Ratajski L., Winid B., 1963, Kartografia ekonomiczna. Warszawa, PPWK.
  • Regnauld N., 1997, Structuration du baty pour la generalisation. W: Proceedings of the 18th ICA International Cartographic Conference, Stockholm, Vol. 1, s. 1395-1401.
  • Robinson A.H, Petchenik B.B., 1975, The map as a comunication system. „Cartogr. Journal" Vol. 12, no. 1, s. 7-15.
  • Ruas A., Mackaness W., 1997, Strategies for urban map generalisation. W: Proceedings of the 18th ICA International Cartographic Conference, Stockholm, Vol, 1, s. 1387-1394,
  • Saliszczew K.A., 1972, Historia i współczesny rozwój generalizacji kartograficznej. „Polski Przegl. Kartogr." T. 4, nr 1, s, 1-13.
  • Sirko M., 1988, Teoretyczne i metodyczne aspekty obiektywizacji doboru osiedli na mapach. Lublin, UMCS.
  • Srnka E., 1970, The analytical solution of regular generalization in cartography. „Intern. Yearb. of Cartogr." Vol. 10, s. 48-62.
  • Szaflarski J., 1965, Zarys kartografii. Warszawa, PPWK.
  • Tobler W., 1964, An experiment in the computer generalization of maps. Techn. Report No.1, Office of Naval Research Task, No. 38.,
  • Tobier W.,1989, Numerical map generalization, „Cartographica", Vol. 26, nr 1, s. 7-25.
  • Töpfer F, 1979, Kartographische Generalisierung. Erganzungsheft Nr 276 zu „Peterrnanns Geogr. Mitt." Gotha.
  • Wang Z., Muller J.C., 1993, Complex coastline generalization. „Cartography and GIS" Vol. 20, no. 2, s. 96-106,
  • Weibei R., 1991, Arnplified intelligence and Ruie-Based System. W: Buttenfield B.P., McMaster R.B., Map generalization: making rules for knowledge representalion. London, Longrnan.
  • Weibel R., 1995, Three essential building blocks for automated generalization. W: J.C. Moher, J.P. Lagrange, R. Weibel, GiS and generalization. methodology and practice. London, Taylor 8, Francis, s. 56-69.
  • Wu H., 1997. Strucłured approach to impiementing aułomatic cartographic generalization. „Proceedings of the 18th ICA International Cartographic Conference, Stockholm, Vol. 1, s. 349-356.
  • Żyszkowska W., 1993, Złożoność mapy jako właściwość obrazu kartograficznego i jej wpływ na odbiór mapy. „Polski Przegl. Kartogr." T. 25, nr 3, s. 116-122.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BAR4-0001-0088
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.