Search Results
You are looking at 1 - 2 of 2 items for
- Author or Editor: T. Podobnikar x
- Refine by Access: All Content x
Various spatial data sets of high quality and homogeneity allow a higher level of multidisciplinary research. The study is aimed at providing a clearer understanding of the technical and semantic aspects of the quality of historical maps, especially with respect to positional errors, through the georeferencing process. Georeferencing the system of historical map sheets with high precision over a large area is not easily incorporated into the less complicated standardised process. Significant problems may occur in rough mountainous regions, especially as many of the areas were not accessed at that time and therefore not surveyed. The standard process of georeferencing comprises mosaicking of singular map sheets to a seamless map, referencing with identical points, and applying an appropriate transformation method. The quality of georeferenced maps is assessed with statistical and visual parameters. The enhanced process additionally integrates descriptive (textual) information about the mapping processes, derivative georeferenced data sets as land use analysis, and Monte Carlo simulations. This approach allows a more detailed understanding of the quality and consequently improves a georeferencing process for any historical data sets. The First Military Survey maps of the Habsburg Monarchy (Josephine survey), produced between 1763 and 1787, were used as study data and the rugged Julian Alps of the Triglav National Park in Slovenia were employed as the study area.
Methods for georeferencing and GIS applications of the maps and plans from the 16th century until 1990 are described. The results of georeferencing — derivatives of historical maps, show a high value and potential of usability for the studies of urban areas — for historical issues, and for more comprehensive planning solutions allowing better development and policy. The applicability of the georeferenced historical maps was explored according to time series analysis. The studied were the applications for the urban area of Ljubljana, Slovenia case study: observing the continuous changing of the river course of Ljubljanica river and railway network.