Pawlicki, B. M., Czechowicz, J., Drabowski, M. (2001). Modern methods of data processing of old historical structure for the needs of the Polish Information System About Monuments following the example of Cracow in Cultural Heritage Protection. In: D. Kereković, E. Nowak (ed.). GIS Polonia 2001. Hrvatski Informatički Zbor – GIS Forum, Croatia, 367-378.

MODERN METHODS OF DATA PROCESSING OF OLD HISTORICAL STRUCTURE FOR THE NEEEDS OF THE POLISH INFORMATION SYSTEM ABOUT MONUMENTS FOLLOWING THE EXAMPLE OF CRACOW IN CULTURAL HERITAGE PROTECTION

Bonawentura Maciej PAWLICKI Jacek CZECHOWICZ Mieczysław DRABOWSKI

Politechnika Krakowska Cracow University Of Technology Cracow University of Technology, Institute of History of and Monuments Preservation, Center of Education and Research in the Range of Application of Informatic Systems, Cracow

ABSTRACT Presented works were made from 1999 to 2001 years in the Division of Conservatory Studies and Researches, of the Institute of and Monument Preservation - Faculty of Architecture of the Cracow University of Technology. The software, methods and models of the data base systems were laboratory experimented in the Computer Information Systems Center of the Cracow University of Technology. The works (laboratories, terain exercises and student practises) which have been doing so far, concerned of geodesy-cataloguing registration and using computer technology give an optimal possibilities of monitoring of the historical environment for preservation of the cultural heritage. The data used in computer modelling make applying of multiply materials as a basis of data warehouse, among other: geodesy foundations, their newest actualisation, digital camera photography’s and space visualisations. In works students used following graphical programs: GIS, 3D Studio Max, AutoCAD – Architectural Desktop, ArchiCAD 6.5, Adobe Photo Shop, Land Development, Corel Draw, Picture Publisher. Discussed project database system use following information’s categories: 1. objects identification – repository with kinds monuments and describe attributes, among other information: qualitative, valorizative, quantitative, economic, organizational, legislative, form of monuments and tabelar indexes 2. input form – documents format included structures input data, correction rules 3. output form – structures reports, charts, labels etc., statistic, sort criterions and data election 4. processing – computations type 5. database preservation – procedures: data archive, update, delete, join, divide etc. Implementation is in relation database model and documentation is contained in diagrams: Data Flow, Entity Relationship, Entity Life History, State Transition. The results, which have been accomplished shows, that data packet are useful for scientific researches, support management systems, monument preservation, town planning, optimisation of building and historical complexes functions, preservation designing and revalorization works. They can be useful for our national heritage as a maintenance of the old town fabric and town aesthetic from the view point of advertising, illuminations and technical infrastructure designing.

The works presented herein were carried out between 1999 – 2001 within students’ classes in the Division of Conservatory Studies and Research of the Institute of History of Architecture and Monument Preservation at the Faculty of Architecture of the Cracow University of Technology. Software, methods and models of the database were laboratory tested in the Centre of Information Systems Engineering at the Cracow University of Technology. Cataloguing and analytical studies of fragments of monumental structures in the centre of Cracow were carried out within laboratory classes, outdoor classes and students’ apprenticeship. The ERD diagram was created as the first in the order of sequence. Pawlicki, B. M., Czechowicz, J., Drabowski, M. (2001). Modern methods of data processing of old historical structure for the needs of the Polish Information System About Monuments following the example of Cracow in Cultural Heritage Protection. In: D. Kereković, E. Nowak (ed.). GIS Polonia 2001. Hrvatski Informatički Zbor – GIS Forum, Croatia, 367-378.

ATTRIBUTES - A OBJECTS - O RELATIONSHIPS - R ESSENTIAL DATA TYPES OF MONUMENTS EXPLOITATION

1. 1. 1. LOCATION SPATIAL LAYOUT BUILDING GROUP INDEX

2. 2. 2. OBJECTS INDEX COURTYARDS CHURCHES

3. 3. 3. AUTHORS INDEX BUILDING WINGS MONASTERIES

4. 4. 4. PATRONS INDEX DOMES - TOWERS CHAPELS

5. 5. 5. ORIGIN- CAMPANILES OTHER SACRAL TYPOLOGICAL INDEX

6. FACADES 6. CASTLES 6. TOPOGRAPHICAL INDEX

7. 7. DEFENSIVE 7. DETAILS DRAWINGS PROPORTIONS STRUCTURES

8. 8. 8. ELEVATION VIEW ORNAMENTS TOWN HALLS CROSS SECTION

9. 9. 9. QUOINS SHAPE PUBLIC INSTITUTIONS RENDERINGS

10. 10. 10. URBAN PLANS ENTABLATURE PALACES

11. PILASTERS 11. 11. COLUMNS- MANOR-HOUSES MAPS DEMICOLUMNS

12. 12. 12. TABLES BASES HOUSES

13. ARCADES 13. OTHER DWELLING 13. COMPARATIVE PLACES ANALYSES

14. MOULDING 14. INDUSTRIAL 14. HISTORICAL STRUCTURES PERIOD

15. 15. 15. VAULTS HOUSEHOLD CLASSIFICATION STRUCTURES

16. 16. 16. CRUCIAL EVENTS CEILINGS PARKS - GARDENS

17. 17. 17. PHOTO PORTALS STATUES DOCUMENTATION

18. 18. 18. WINDOWS TOMBS ICONOGRAPHY

19. 19. 19. ILLUSTRATION DOORS ARCHAEOLOGICAL SOURCES SITES

20. 20. ENGINEERING 20. ILLUSTRATIONS BALCONIES STRUCTURES LIST

21. 21. 21. BALUSTRADES INTERIORS BIBLIOGRAPHY

22. 22. 22. ORIELS PANORAMIC VIEWS LITERATURE

In the ERD diagram monumental objects (object - O) were characterised according to categories and types which were described with essential data (attribute – A), in mutual relationships to be used in the warehouse of the database (relationships – R).

2 Pawlicki, B. M., Czechowicz, J., Drabowski, M. (2001). Modern methods of data processing of old historical structure for the needs of the Polish Information System About Monuments following the example of Cracow in Cultural Heritage Protection. In: D. Kereković, E. Nowak (ed.). GIS Polonia 2001. Hrvatski Informatički Zbor – GIS Forum, Croatia, 367-378.

Object – monument and groups of monuments were described as vital topological, geometrical and topographical information, which allows us to study relations of location at the site. 1. Map with objects marked 2. Location of the object in relation to polygon – pair of co-ordinates 3. Spatial location of the object – three pairs of co-ordinates 4. Scanned raster map with the exactitude of min. 300 dpi (point/inch), in the configuration of the map co-ordinates 1:1 000 000 (1cm = 10 km), location of points 1,2,...etc. 5. Vector map made up as automatic vectorial analysis (1mm = 1m at the site) city plan 1:1000 (1cm = 10m), location of points A, B, C, ...etc. 6. Configuration of co-ordinates of the net of points A B C (area border, street crossroads, axes of roads, axes of streets, technical infrastructure network) 7. Transformation of co-ordinates configuration of different map scales

CRACOW B

C A

WIELICZKA CRACOW’S MARKET SQUARE

Fig.1. Vector map. Fig.2. Configuration of co-ordinates.

1. structure’s map location 16. current sales price of land 2. street name 17. surroundings, roads, squares 3. house number 18. graphic information 4. structure’s name 19. tables,calculations,graphs, histograms 5. building type 20. sonic information 6. date of erection, remodelling 21. animation 7. author of monument 22. scanned and digital photographs 8. terrier number 23. graphic symbols, True Type 9. property owner’s name 24. numerical data 10. automatic distance calculation 25. textual data 11. automatic direction calculation 26. data of “Data” type 12. area and allotment periphery 27. screen presentations 13. “key points” co-ordinates 28. outprints, reports 14. name and number of users 29. date and author of data input 15. number of rooms 30. new information field

Attributes refer to the characterisation of structural configurations of individual monuments. They include among the others: addresses, spatial layouts, their specific forms, shapes and proportions. The attribute carries thematic information. It is a textual file containing addresses of the structure and statistical data, and the range of the presentation potential.

3 Pawlicki, B. M., Czechowicz, J., Drabowski, M. (2001). Modern methods of data processing of old historical structure for the needs of the Polish Information System About Monuments following the example of Cracow in Cultural Heritage Protection. In: D. Kereković, E. Nowak (ed.). GIS Polonia 2001. Hrvatski Informatički Zbor – GIS Forum, Croatia, 367-378.

1. SPATIAL LAYOUT 7. PROPORTIONS 3. Zoo- and 1. Detached 1. Architectural orders antropomorphic 2. Corner a. Romanesque a. 3. Compact b. Gothic b. dolphin 2. COUTYARDS c. Renaissance c. gryphon 1. Open d. Mannerism d. mascaron 2. Closed e. 4. Architectural 3. Lateral f. Rococo a. Astragal 4. Furnishing g. Classicism b. a. Well h. Neo-style c. Beads b. Fountain i. Art. Nouveau d. Cimatium c. Sculptures j. Eclecticism 9. CORNERS' SHAPE d. Plants k. Modernism 1. Truncate 3. BUILDING’S WINGS 2. Geometrical 2. Rectangular 1. Central interdependence 3. Curvatured 2. Lateral a. Modular layout 4. Corner buttress 4. DOMES-TOWERS b. Golden division 10. ENTABLATURE 1. Dome base c. Silver division (trabeatio) a. Circular d. Symmetrical 1. Cornice moulding b. Elliptical layout (coronis) c. Square e. Asymmetrical a. Supercilium - Pendentives layout (supercilium) - Squinches 8. ORNAMENTS b. Sima (sima) 2. Half-dome 1. Floral c. Regula (regula) a. Segmental a. d. Unda ( unda, b. Hemispherical b. cimatium c. Ogive c. lesbium) d. Onion-shaped d. e. Corona 3. Tower types e. Garland (corona) a. Defensive tower f. Grapevine f. Scotia (scotia) - Turret g. Thistle g. Echinus - Donjon 2. Geometrical (echinus) b. Dwelling tower a. h. Astragal c. Gate tower b. Spiral (astragalus) – d. Watch tower c. Cable sometimes e. View tower d. Running dog bead string f. Town Hall tower e. Guilloche frieze i. Regula (regula) 5. Campaniles f. j. Dentils 1. Detached g. (denticuli) 2. Semi-detached h. k. Intersection (connected with the i. Interlacing arches (intersectio) structure of the j. Modillions 2. Frieze (zophorus) building) k. Tracery a. Unda, 3. Crowning the building l. Candelabrum cimatium 6. FACADES m. Scrollwork acanthus 1. Base n. (unda) 2. Intermediate moulding o. Renaissance b. Frieze surface 3. Cornice moulding scrollwork Bass-relieved 4. Storeys p. Lambrequin With gryphons, 5. Axes q. Baroque Vases, 6. Projection strapwork Candelabra, 7. Stone chamfering r. Chequer-work (triglyphs, 8. The Great Order s. Rocaille metopes) 9. Pilasters 10. Tympanum

4 Pawlicki, B. M., Czechowicz, J., Drabowski, M. (2001). Modern methods of data processing of old historical structure for the needs of the Polish Information System About Monuments following the example of Cracow in Cultural Heritage Protection. In: D. Kereković, E. Nowak (ed.). GIS Polonia 2001. Hrvatski Informatički Zbor – GIS Forum, Croatia, 367-378.

3. bottom beam, 12. BASE, pedestal, stylobate 15. VAULTS architrave (stylobat) 1. barrel (epistylium) 1. Moulding (coronis) 2. domical a. Supercilium a. Supercilium 3. elliptical (supercilium) and cimatium 4. ogive b. Unda (unda) (supercilium, a. transverse arch c. Fascia Cimatium) b. lunettes (fasciae) b. Corona plate 5. cloistered 11. COLUMN – (columna), (corona) a. square demi-column, pilaster c. Echinus b. polygonal 1. Capital (capitulum) (echinus) 6. groined a. Abacus d Astragal 7. cross-rib (abacus) – (astragalus) 8. stellar With 2. trunk (trunkus) 9. trough supercilium and a. trunk with 10. cove unda sculpted regulae and 11. fan (cimatium lesbium) demiflutes 12. palmette b. axis or at the top and 13. tripartite regula (axis) at the bottom 14. sail c. Volute canal 3. basis (basis, 15. spandrel (canalis stylobatae) 16. cell caederae) b. Astragal 17. net d. Echinus (astragalus) 18. pseudo (echinus) – c. Sima inversa 16. CEILINGS with oval (sima inversa) a. flat cimatium d. Regula b. beam sculpted (regula) c. coffered 2. Shaft e. Base (quadra) d. plafond a. Astragal 13. ARCADES 17. PORTALS (astragalus), often 1. support 1. lintel Bead string a. pillar 2. mould b. Cinta (cinta) b. column 3. frame c. Flutes (striae) 2. arch 18. WINDOWS and striges a. face 1. lintel (striges) b. extrados 2. mould d. Scapus (scapus) c. intrados 3. frame e. Entasis (entasis) d. keystone 19. DOORS f. Limbus e. voussoir 1. single-flap (limbus) – f. springer 2. double-flap with a demiflute 3. impost 3. multi-flap connecting limbus 14. MOULDING 4. with transom window and shaft 1. external 5. wooden (apophygis) a. cornice 6. metal 3. Base (spira) b. moulding 20. BALCONIES a. Torus (torus) c. inter-storey 1. console b. Flutes d. door 2. column (trochilus) – e. window 3. balustrade with f. framing 21. BALUSTRADES supercilium at 2. internal 1. pedestal the top and at a. wall 2. baluster the bottom b. chimney 3. railing c. Astragal, string c. stove 22. ORIELS (astragalus) plate, plinth (plintus)

5 Pawlicki, B. M., Czechowicz, J., Drabowski, M. (2001). Modern methods of data processing of old historical structure for the needs of the Polish Information System About Monuments following the example of Cracow in Cultural Heritage Protection. In: D. Kereković, E. Nowak (ed.). GIS Polonia 2001. Hrvatski Informatički Zbor – GIS Forum, Croatia, 367-378.

The requirements to be faced by the database system may be described as parameters, whose target is: - to search for the ordered objects of the same type, the same period of erection (e.g. 1500-1530), the same region, the same material, etc. - to retrieve the warehouses collecting the data such as: orthogonal drawings, renderings, descriptive historical data, quantitative tabular specification, and all sorts of diagrams. Queries to the structure of the database follow many various criteria. That refers to qualitative aspects: 1. Where is the monument or group of monuments located? 2. What is the location of the monument in relation to the borders of the country, region, and locality? 3. What are the mutual spatial relationships of the group of the monuments – nearby or remote? 4. What century does the monument date back to (10th century – 19th century AD)? 5. What period is the monument from (e.g. between 1800 – 1820)? 6. What material is the monument made of – wood (w), brick (b), and stone (s)? Evaluating aspects: 1. What type does the monument belong to? 2. What functional category does the monument belong to? 3. What stylistic group does it belong to? 4. What is the value of the monument? Quantitative aspects: 1. How many monuments are there in the given area of the country, region, and town? 2. How many monuments of the same type exist? 3. What is the pattern of changes in the overall number of monuments in Poland? 4. What is the congestion of monuments in a given area (ha, km²) 5. What is the size of the user area (m²), cubature (m³)? 6. What type and how many “clusters of monuments” exist within the area of Poland? 7. What is the congestion of “monumental background” in different regions of Poland? 8. How to measure quantitative relations of monuments in different areas (ha, km²)? Economic – organisational – legislative aspects: 1. What amount of financial means should be provided for the renovation of the monument? 2. How to plan deadlines for realisation? 3. What legal steps should be taken to protect the monument? Formal aspects: 1. How to compare forms and structures of the monuments? 2. What methods can be used to support typological comparative studies? 3. How to carry out cartographic analyses of monuments? Data and tabular indexes: 1. Tables, diagrams, isolines, perigrams, and pictograms? 2. How to introduce your own stipulated graphic marks and picture symbols? Information models, simulations models, test models, and geographic information GIS

6 Pawlicki, B. M., Czechowicz, J., Drabowski, M. (2001). Modern methods of data processing of old historical structure for the needs of the Polish Information System About Monuments following the example of Cracow in Cultural Heritage Protection. In: D. Kereković, E. Nowak (ed.). GIS Polonia 2001. Hrvatski Informatički Zbor – GIS Forum, Croatia, 367-378.

DATABASE PROJECT

This chapter presents relational approach to the search for data in the information system about monuments. Applied data will be saved in entries in the form of tables. A single entry value means a record and every element of the record means a field. In the table’s structure the record occupies a verse and every field has its own separate column. In the proposed database structure we have the following tables: CATEGORY MONUMENT

Category_id Object_id Author Type Locality Name Year Location

Category_id Example: Classification group of the object (A...Z), cataloguing number Author, authors (Authors’ Alphabetic List) Location (country, locality, street, property number, x and y co-ordinates) Erection date (index according to decades), bibliography, iconography Object_id Object identification Type - e.g. object (O), group (G), building group (BG), urban group (UG) Name - object name Location defines where the object is located We propose the following code method: For example: KRA-xxx-zzz. The first three symbols mark the name of the region. The next three symbols mark the number of a given locality or its name. The last group of symbols identifies the object location in the structure of building group of a given locality. Of course, symbols defining location may be further developed. This method of identification allows us to search for objects in an easy way. For processing queries about hierarchical relationships between monuments we present an additional table. In its first column there are parent monuments identified, and in the second column daughter monuments. If the identification of a given object is not present in the first column of the table, it means that there are no daughter monuments that are related to the object in question. Adding new daughter objects is easy - the only thing to do is to write the identification of the added object in the table (2nd column) and add the identification of the parent monument related to the added object.

HIERARCHY GENEALOGY Object_id Object_n_id Author Object_p_id Century Erection_Date Cultural_Circle Object_Type

Erection Date – (from... to...), Cultural Circle – (e.g. G-German, I-Italian, NI-Netherlandish, F- French, etc.)

7 Pawlicki, B. M., Czechowicz, J., Drabowski, M. (2001). Modern methods of data processing of old historical structure for the needs of the Polish Information System About Monuments following the example of Cracow in Cultural Heritage Protection. In: D. Kereković, E. Nowak (ed.). GIS Polonia 2001. Hrvatski Informatički Zbor – GIS Forum, Croatia, 367-378.

CHARACTER BUILDING TRADITIONS

Object_id Object_id Object_Type Complexity Kind Phases_State User_Area Good_Use Cubature Bad_Use Store_Number Value State

Object Type - urban plan, fortifications, sacral buildings, castles, residences, public institutions, houses, industrial objects, rural objects, parks, natural monuments, etc. Kind - typology uA, uB, uC, ..., kind oA, oB, oC, ... layout type pA, pB, pC... User Area, Cubature, Storeys Number – only for closed objects Value State Complexity of the monument’s structure – number of historical phases (ph I, ph II, ...) Phases State – preservation state of different phases of development (in percentage %) Good Use – appropriate for the monument’s character (in percentage %) Bad Use – (in percentage %)

CLIMATE MANAGEMENT

Object_id Object_id Environmental Conditions Public Investment Dust Monitoring Private Investment Chemical Monitoring With Debt Investment Humidity Public/Private Investment Resistance Degradation Degree

Humidity, Resistance, Degradation Degree – specified in percentage % Resistance – to environmental threats

PUBLIC SECTOR PRIVATE SECTOR

Object_id Object_id General Plans European Bank of Development and GIS Reconstruct. Development Agency European Investment Bank Business Plan Eurobonds Issue Local Plans Concepts

COORDINATION VISUALISATION

Object_id Object_id Local Plans Illustrations, Maps, Plans GIS Horizontal Views, Cross Sections Development Agency Elevations, Renderings Business Plan Details, Descriptions

For the effective query processing the following tables were created:

8 Pawlicki, B. M., Czechowicz, J., Drabowski, M. (2001). Modern methods of data processing of old historical structure for the needs of the Polish Information System About Monuments following the example of Cracow in Cultural Heritage Protection. In: D. Kereković, E. Nowak (ed.). GIS Polonia 2001. Hrvatski Informatički Zbor – GIS Forum, Croatia, 367-378.

USERS OBJECT STATE

User_id Object_id Name State Kind Degradation Degree Address Latest Conservatory Works Conservatory Conclusions

LOCATION PROPRIETORS

Object_id Proprietor_id Object Address Name Proprietor_id Kind User_id Address

User – identification number of the current user Name – the institution’s name or the proprietor’s name Kind – (institution, individual person, ...)

Remarks: 1. All the tables, with the exception of PROPRIETORS and USERS have as the first field object_id. Every piece of information in a single table is linked with one piece of information in the remaining tables. These are relations 1 to 1. 2. Relations 1 to n appear in PROPRIETORS and USERS tables, because a single proprietor or a single user can possess several monuments. A single monument can belong to several proprietors or users, too. 3. The construction of the presented database thoroughly identifies objects in question; it includes enumeration of kinds of objects and defines all the fields (attributes) describing every object. 4. Implementation defines input and output form - structure of documents destined for data input and principles of input data verification. 5. This project allows us to process various queries addressed to the database. 6. Implementation of the database is being carried out in the technology provided by Oracle.

9 Pawlicki, B. M., Czechowicz, J., Drabowski, M. (2001). Modern methods of data processing of old historical structure for the needs of the Polish Information System About Monuments following the example of Cracow in Cultural Heritage Protection. In: D. Kereković, E. Nowak (ed.). GIS Polonia 2001. Hrvatski Informatički Zbor – GIS Forum, Croatia, 367-378.

After the data input the system starts the analysis, next the data are processed, the area and cubature is automatically calculated, the type is established. As a result we obtain statistical and graphical answers.

MOULDING, CLOTH HALL, CRACOW, GOTHIC, PORTALS... TOWN HALL... ZAMOŚĆ... RENAISSANCE ...

ENTER ENTER ENTER ENTER

OBJECTS HISTORICAL DETAILS OBJECT GROUP PERIOD

OBJECT OBJECTS ATTRIBUTES IDENTIFICATION KINDS

EXPLOITATION

STATISTICAL GRAPHS DESCRIPTIVE GRAPHICAL DATA TABLES DATA DATA

The works that have been done so far cover both geodetic and cataloguing registration and computer technology methods. They provide optimal possibility of historical environment monitoring for cultural heritage protection. The data used in computer modelling allowed us to apply various materials as the basis of database warehouse, among the others: geodesy foundations, their latest updating, layouts of objects, digital camera photographs, and spatial visualisations. Students were aided with the following graphical software: GIS, 3D Studio Max, AutoCAD – Architectural Desktop, ArchiCAD 6.5, Adobe Photo Shop, Land Development, Corel Draw, Picture Publisher. The discussed project of database system is based on the following information categories: 1. Objects identification – data repository with kinds of monuments and attributes describing, among the others: qualitative, evaluating, quantitative, economic, organisational, and legislative information, formal aspects and tabular indexes. 2. Input form - format of documents including input data structure and correctness rules. 3. Output form - structure of reports, graphs, labels, etc., statistics, classifying and data election criteria. 4. Processing – type of calculations. 5. Database maintenance – procedures for data archiving, updating, deleting, dividing, and combining. Implementation of the project is based on the relation approach model of the database, and documentation is contained in the following diagrams: Data Flow, Objects Relationships, Objects Life History, and State Transitions

10 Pawlicki, B. M., Czechowicz, J., Drabowski, M. (2001). Modern methods of data processing of old historical structure for the needs of the Polish Information System About Monuments following the example of Cracow in Cultural Heritage Protection. In: D. Kereković, E. Nowak (ed.). GIS Polonia 2001. Hrvatski Informatički Zbor – GIS Forum, Croatia, 367-378.

MONUMENTS INFORMATION SYSTEM PLANNING – PROGRAMMING – IMPLEMENTING – MONITORING

COMMON ART AND CULTURE HERITAGE

URBAN ARCHITECT. INTERIOR DECORATIONS OF COLLECTIONS MONUMENTS MONUMENTS FURNISHING PAINTING MASONRY

TYPES AND SACRAL PUBLIC HERITAGE DATABASE CATEGORIES OF BUILDINGS INSTITUTIONS REGIONS MONUMENTS HOUSING, ETC. ECONOMIC, ETC.

CENTURIES CULTURE CIVILISATION CLIMATE TRADITION INFLUENCES MANIFESTATI GENEALOGY ENVIRONMENT ANALOGIES ONS

10TH - 12TH DUST PRESERVATION 12TH - 15TH GERMANY VALUES EMISSION STATE ANTIQUITY VALUE ITALY HISTORIC VALUE CHEMICAL 16TH - 17TH NETHERLANDS ARTISTIC VALUE EMISSION USE AESTHETIC VALUE ENGLAND ECONOMIC VALUE HUMIDITY 18TH FRANCE SOCIAL VALUE DEPOSITION RESTORATION REGIONAL VALUE 19TH AUTHENTI VALUE CONGESTION CISM MONITORING 20TH HUNGARY MAINTENANCE

FINANCIAL PUBLIC PRIVATE PLANS SECTOR SECTOR COORDINATION

PUBLIC EUROPEAN INVESTMENT LOCAL PLAN DEVELOPMENT BANK

PRIVATE SPATIAL EUROPEAN INVESTMENT INFORMATION INVESTMENT SYSTEM BANK

WITH DEBT DEVELOPMENT EUROBONDS PUBLIC AGENCY ISSUE INVESTMENT

PUBLIC PRIVATE BUSINESS PLANS LOANS AND AGREEMENT CREDITS

11 Pawlicki, B. M., Czechowicz, J., Drabowski, M. (2001). Modern methods of data processing of old historical structure for the needs of the Polish Information System About Monuments following the example of Cracow in Cultural Heritage Protection. In: D. Kereković, E. Nowak (ed.). GIS Polonia 2001. Hrvatski Informatički Zbor – GIS Forum, Croatia, 367-378.

LIST OF DATA AND PARAMETERS FOR CREATING THE DATABASE

1. INDIVIDUAL MONUMENT - - object (O), group (G), building group (BG), urban group (UG) - 2. GENEALOGY – author, century (10th -19th), date of erection (from-to), cultural circle (N, I, NI, F...) - urban layouts – author, typology ( uA, uB, uC...), , century (10th -19th), area (ha) - fortifications – kind (fA, fB, fC ...), century, user area (m²) cubature (m³) - sacral buildings (churches, monasteries, sanctuaries...) – kind, typology, century - castles, residences – user area, cubature, number of storeys - public architecture, cloth halls, town halls... ( - || - ) - housing architecture, palaces, manors, merchants’ houses... ( - || - ) - industrial architecture... ( - || - ) - rural buildings, cottages, farms... ( - || - ) - parks, gardens – type of layout (pA, pB, pC...), area - natural monuments – kind, age, state of preservation (good G, medium M, bad B) - values (V1, V2, V3...) 2. CLIMATE – environmental conditions, dust, chemicals, and humidity monitoring (in percentage %) - - resistance to environmental threats 0 – 100 % - degree of monument’s degradation 0 – 100.% - 3. BUILDING AND CONSTRUCTION TRADITIONS - complexity of the monument’s structure – number of historical phases ( ph I, ph II, ph III, ph IV...) - preservation state of developmental phases 0 – 100 % - use in agreement with the character of the monument 0 – 100 % - inappropriate use 0 – 100 % - 4. MANAGEMENT - public investment – expenditure value (in thousands PLN) - private investment ( - || - ) - with debt public investment ( - || - ) - public and private investment ( - || - ) - 5. PUBLIC SECTOR (PU) - general plans, spatial information system, development agency, business plan - concepts of local plans - 6. PRIVATE SECTOR (PR) - local plans, spatial information system, development agency, business plan - 7. COORDINATION - European Bank of Development and Reconstruction - European Investment Bank - Issue of Eurobonds - 8. VISAULISATION - illustrations (fig.), maps (m), plans (pl), photographs (phot.) - horizontal views (hv), cross sections (cs), elevations (el), renderings (r), details (d) description (desc.)

12