Abstract
This paper deals with a tool that enables import of the coded data in a single text file to more than one vector layers (including attribute tables), together with automatic drawing of line and polygon objects and with optional conversion to CAD. Python script v.in.survey is available as an add-on for open-source software GRASS GIS (GRASS Development Team). The paper describes a case study based on surveying at the archaeological mission at Tell-el Retaba (Egypt). Advantages of the tool (e.g. significant optimization of surveying work) and its limits (demands on keeping conventions for the points’ names coding) are discussed here as well. Possibilities of future development are suggested (e.g. generalization of points’ names coding or more complex attribute table creation).
Highlights
Standard functionality of current Geographic Information System (GIS) software includes a tool for vector layer import from a text file
The data can be imported to CAD automatically at first and CAD drawing can be converted to vector layers in GIS environment
The purpose of this paper is to provide an overview of a script that has been developed to create multiple vector layers in GIS environment directly from acquired data
Summary
Standard functionality of current Geographic Information System (GIS) software includes a tool for vector layer import from a text file. It is required to use just one text file for one vector output, as concurrent import of multiple layers seems to be not supported yet. In case of need to import a text file containing this type of the data, it is necessary to perform the task for each layer separately. This option might be quite time-consuming and, above all, an advantage of automatic import of coded data is lost. The data can be imported to CAD automatically at first and CAD drawing can be converted to vector layers in GIS environment. The purpose of this paper is to provide an overview of a script that has been developed to create multiple vector layers in GIS environment directly from acquired data (and eventually to convert them to CAD)
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