Thanks to easier operability and a growing range of functions, open source products are increasingly being used in teaching GIS to students of various course programs. The elaboration of such courses poses the challenge of taking into account different study paths, allowing for student autonomy (e-learning), and choosing the right software. The article suggests answers to these questions by presenting the classes offered at the University of Applied Sciences in Deggendorf and the University of Passau since winter 2010/11 as well as ideas for future course offers.
{"title":"GvSIG in the academic education of heterogeneous target groups – experiences in lectures, exercises and eLearning","authors":"W. Dorner, J. Scheffer, Roland Zink","doi":"10.14311/GI.7.1","DOIUrl":"https://doi.org/10.14311/GI.7.1","url":null,"abstract":"Thanks to easier operability and a growing range of functions, open source products are increasingly being used in teaching GIS to students of various course programs. The elaboration of such courses poses the challenge of taking into account different study paths, allowing for student autonomy (e-learning), and choosing the right software. The article suggests answers to these questions by presenting the classes offered at the University of Applied Sciences in Deggendorf and the University of Passau since winter 2010/11 as well as ideas for future course offers.","PeriodicalId":436054,"journal":{"name":"Geoinformatics FCE CTU","volume":"80 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126055805","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The paper describes intelligent map system that allows to check errors in map sheets or to help with a map sheet creation. The system is based on expert system DROOLS, ontology created in Protege and statistical software R. Prototype of the system should evaluate that this kind of integration is possible, so the system is not full of rules. The prototype is filled with twenty rules written in DRL language and with more than thirty items from the ontology. The paper should show how all of these components can be integrated together to allow such kind of a map sheet evaluation. The system is now used for selection of the best method for data classification. The selection is suggested by DROOLS system that uses R software to perform statistical tests of normality and uniformity.
{"title":"Integrating DROOLS and R software for intelligent map system","authors":"J. Růžička","doi":"10.14311/GI.7.7","DOIUrl":"https://doi.org/10.14311/GI.7.7","url":null,"abstract":"The paper describes intelligent map system that allows to check errors in map sheets or to help with a map sheet creation. The system is based on expert system DROOLS, ontology created in Protege and statistical software R. Prototype of the system should evaluate that this kind of integration is possible, so the system is not full of rules. The prototype is filled with twenty rules written in DRL language and with more than thirty items from the ontology. The paper should show how all of these components can be integrated together to allow such kind of a map sheet evaluation. The system is now used for selection of the best method for data classification. The selection is suggested by DROOLS system that uses R software to perform statistical tests of normality and uniformity.","PeriodicalId":436054,"journal":{"name":"Geoinformatics FCE CTU","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132333479","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper assesses possibilities of a new approach of control map applications on the screen without locomotive system. There is a project about usability of Eye Tracking System in Geoinformatic and Cartographic fields at Department of Geoinformatics at Palacky University. The eye tracking system is a device for measuring eye/gaze positions and eye/gaze movement ("where we are looking"). There is a number of methods and outputs, but the most common are "heat-maps" of intensity and/or time. Just this method was used in the first part, where was analyzed the number of common web map portals, especially distribution of their tools and functions on the screen. The aim of research is to localize by heat-maps the best distribution of control tools for movement with map (function "pan"). It can analyze how sensitive are people on perception of control tools in different web pages and platforms. It is a great experience to compare accurate survey data with personal interpretation and knowledge. Based on these results is the next step – design of "control tools" which is command by eye-tracking device. There has been elected rectangle areas located on the edge of map (AOI – areas of interest), with special function which have defined some time delay. When user localizes one of these areas the map automatically moves to the way on which edge is localized on, and time delay prevents accidental movement. The technology for recording the eye movements on the screen offers this option because if you properly define the layout and function controls of the map, you need only connect these two systems. At this moment, there is a technical constrain. The solution of movement control is based on data transmission between eye-tracking-device-output and converter in real-time. Just real-time transfer is not supported in every case of SMI (SensoMotoric Instruments company) devices. More precisely it is the problem of money, because eye-tracking device and every upgrade is very expensive. This constrains and their solutions are also discussed in paper. Main aim of the project is to design (both economically and technologically), optimal way how to record and convert eye-movement in a program with sophisticated control of movements.
{"title":"Possibilities of contactless control of web map applications by sight","authors":"R. Nétek","doi":"10.14311/GI.7.5","DOIUrl":"https://doi.org/10.14311/GI.7.5","url":null,"abstract":"This paper assesses possibilities of a new approach of control map applications on the screen without locomotive system. There is a project about usability of Eye Tracking System in Geoinformatic and Cartographic fields at Department of Geoinformatics at Palacky University. The eye tracking system is a device for measuring eye/gaze positions and eye/gaze movement (\"where we are looking\"). There is a number of methods and outputs, but the most common are \"heat-maps\" of intensity and/or time. Just this method was used in the first part, where was analyzed the number of common web map portals, especially distribution of their tools and functions on the screen. The aim of research is to localize by heat-maps the best distribution of control tools for movement with map (function \"pan\"). It can analyze how sensitive are people on perception of control tools in different web pages and platforms. It is a great experience to compare accurate survey data with personal interpretation and knowledge. Based on these results is the next step – design of \"control tools\" which is command by eye-tracking device. There has been elected rectangle areas located on the edge of map (AOI – areas of interest), with special function which have defined some time delay. When user localizes one of these areas the map automatically moves to the way on which edge is localized on, and time delay prevents accidental movement. The technology for recording the eye movements on the screen offers this option because if you properly define the layout and function controls of the map, you need only connect these two systems. At this moment, there is a technical constrain. The solution of movement control is based on data transmission between eye-tracking-device-output and converter in real-time. Just real-time transfer is not supported in every case of SMI (SensoMotoric Instruments company) devices. More precisely it is the problem of money, because eye-tracking device and every upgrade is very expensive. This constrains and their solutions are also discussed in paper. Main aim of the project is to design (both economically and technologically), optimal way how to record and convert eye-movement in a program with sophisticated control of movements.","PeriodicalId":436054,"journal":{"name":"Geoinformatics FCE CTU","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114465474","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The article assesses the precision development of distance measurement using prismless distance meters, both in relation to the changing length of the measured distance and the changing incidence angle of the distance meter’s beam. The article presents the design and performance of an original experiment, the characteristics of instruments used, statistical evaluation of experimental data and formulation of conclusions on the precision rate of distance measurement using prismless instruments.
{"title":"Testing of the accuracy dependency of prismless distance measurement on the beam incidence angle","authors":"Pavel Třasák, M. Štroner, V. Smítka, R. Urban","doi":"10.14311/GI.7.10","DOIUrl":"https://doi.org/10.14311/GI.7.10","url":null,"abstract":"The article assesses the precision development of distance measurement using prismless distance meters, both in relation to the changing length of the measured distance and the changing incidence angle of the distance meter’s beam. The article presents the design and performance of an original experiment, the characteristics of instruments used, statistical evaluation of experimental data and formulation of conclusions on the precision rate of distance measurement using prismless instruments.","PeriodicalId":436054,"journal":{"name":"Geoinformatics FCE CTU","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125873137","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The paper deals with a design of a new raster sub-system intended for modern GIS systems open for client and server operation, database connection and strong application interface (API). Motivation for such a design comes from the current state of API working in GRASS 6. If found attractive, the here presented design and its implementation (referred as RG7) may be integrated to the future new generation of the GRASS Geographical Information System version 7-8. The paper describes in details the concept of raster tiling, computer storage of rasters and basic raster access procedures. Finally, the paper gives a simple benchmarking experiment of random read access to raster files imported from the Spearfish dataset. The experiment compares the early implementation of RG7 with the current implementation of rasters in GRASS 6. As the result, the experiment shows the RG7 to be significantly faster than GRASS in random read access to large raster files.
{"title":"Designing a New Raster Sub-System for GRASS-7","authors":"M. Hrubý","doi":"10.14311/GI.7.2","DOIUrl":"https://doi.org/10.14311/GI.7.2","url":null,"abstract":"The paper deals with a design of a new raster sub-system intended for modern GIS systems open for client and server operation, database connection and strong application interface (API). Motivation for such a design comes from the current state of API working in GRASS 6. If found attractive, the here presented design and its implementation (referred as RG7) may be integrated to the future new generation of the GRASS Geographical Information System version 7-8. The paper describes in details the concept of raster tiling, computer storage of rasters and basic raster access procedures. Finally, the paper gives a simple benchmarking experiment of random read access to raster files imported from the Spearfish dataset. The experiment compares the early implementation of RG7 with the current implementation of rasters in GRASS 6. As the result, the experiment shows the RG7 to be significantly faster than GRASS in random read access to large raster files.","PeriodicalId":436054,"journal":{"name":"Geoinformatics FCE CTU","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133716039","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Annalisa Minelli, G. Parker, P. Tacconi, C. Cencetti
The extreme versatility in different research fields of GRASS GIS is well known. A tool for the vertical sorting of sediments in river dynamics analysis is illustrated in this work. In particular, a GRASS GIS python module has been written which implements a forecasting sorting model by Blom&Parker (2006) to analyze river bed composition’s evolution in depth in terms of grainsize. The module takes a DEM and information relative to the bed load transport composition as input. It works in two different and consecutive phases: the first one uses the GRASS capabilities in analyzing geometrical features of the river bed along a chosen river reach, the second phase is the "numerical" one and implements the forecasting model itself, then executes statistical analyses and draws graphs, by the means of matplotlib library. Moreover, a specific procedure for the import of a laser scanner cloud of points is implemented, in case the raster DEM map is not available. At the moment, the module has been applied using flumes data from Saint Anthony Falls Laboratory (Minneapolis, MN) and some first results have been obtained, but the "testing" phase on other flume’s data is still in progress. Moreover the module has been written for GRASS 65 on a Ubuntu Linux machine, even if the debugging of a GRASS 64, Windowsversion, is also in progress. The final aim of this work is the application of the model on natural rivers, but there are still some drawbacks. First of all the need of a high resolution DEM in input, secondly the number and type of data in input (for example the bed load composition in volume fraction per each size considered) which is not easily obtainable, so the best solution is represented by testing the model on a well instrumented river reach to export in future the forecasting method to un-instrumented reaches.
{"title":"A GRASS GIS application for vertical sorting of sediments analysis in River Dynamics","authors":"Annalisa Minelli, G. Parker, P. Tacconi, C. Cencetti","doi":"10.14311/GI.7.4","DOIUrl":"https://doi.org/10.14311/GI.7.4","url":null,"abstract":"The extreme versatility in different research fields of GRASS GIS is well known. A tool for the vertical sorting of sediments in river dynamics analysis is illustrated in this work. In particular, a GRASS GIS python module has been written which implements a forecasting sorting model by Blom&Parker (2006) to analyze river bed composition’s evolution in depth in terms of grainsize. The module takes a DEM and information relative to the bed load transport composition as input. It works in two different and consecutive phases: the first one uses the GRASS capabilities in analyzing geometrical features of the river bed along a chosen river reach, the second phase is the \"numerical\" one and implements the forecasting model itself, then executes statistical analyses and draws graphs, by the means of matplotlib library. Moreover, a specific procedure for the import of a laser scanner cloud of points is implemented, in case the raster DEM map is not available. At the moment, the module has been applied using flumes data from Saint Anthony Falls Laboratory (Minneapolis, MN) and some first results have been obtained, but the \"testing\" phase on other flume’s data is still in progress. Moreover the module has been written for GRASS 65 on a Ubuntu Linux machine, even if the debugging of a GRASS 64, Windowsversion, is also in progress. The final aim of this work is the application of the model on natural rivers, but there are still some drawbacks. First of all the need of a high resolution DEM in input, secondly the number and type of data in input (for example the bed load composition in volume fraction per each size considered) which is not easily obtainable, so the best solution is represented by testing the model on a well instrumented river reach to export in future the forecasting method to un-instrumented reaches.","PeriodicalId":436054,"journal":{"name":"Geoinformatics FCE CTU","volume":"304 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116115847","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Fast development of hardware in recent years leads to the high availability of simple sensing devices at minimal cost. As a consequence, there is many of sensor networks nowadays. These networks can continuously produce a large amount of observed data including the location of measurement. Optimal data architecture for such propose is a challenging issue due to its large scale and spatio-temporal nature. The aim of this paper is to describe data architecture that was used in a particular solution for storage of sensor data. This solution is based on relation data model – concretely PostgreSQL and PostGIS. We will mention out experience from real world projects focused on car monitoring and project targeted on agriculture sensor networks. We will also shortly demonstrate the possibilities of client side API and the potential of other open source libraries that can be used for cartographic visualization (e.g. GeoServer). The main objective is to describe the strength and weakness of usage of relation database system for such propose and to introduce also alternative approaches based on NoSQL concept.
{"title":"Data Architecture for Sensor Network","authors":"J. Ježek","doi":"10.14311/GI.7.3","DOIUrl":"https://doi.org/10.14311/GI.7.3","url":null,"abstract":"Fast development of hardware in recent years leads to the high availability of simple sensing devices at minimal cost. As a consequence, there is many of sensor networks nowadays. These networks can continuously produce a large amount of observed data including the location of measurement. Optimal data architecture for such propose is a challenging issue due to its large scale and spatio-temporal nature. The aim of this paper is to describe data architecture that was used in a particular solution for storage of sensor data. This solution is based on relation data model – concretely PostgreSQL and PostGIS. We will mention out experience from real world projects focused on car monitoring and project targeted on agriculture sensor networks. We will also shortly demonstrate the possibilities of client side API and the potential of other open source libraries that can be used for cartographic visualization (e.g. GeoServer). The main objective is to describe the strength and weakness of usage of relation database system for such propose and to introduce also alternative approaches based on NoSQL concept.","PeriodicalId":436054,"journal":{"name":"Geoinformatics FCE CTU","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114055603","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hydrologists need simple, yet powerful, open source framework for developing and testing mathematical models. Such framework should ensure long-term interoperability and high scalability. This can be done by implementation of the existing, already tested standards. At the moment two interesting options exist: Open Modelling Interface (OpenMI) and Object Modeling System (OMS). OpenMI was developed within the Fifth European Framework Programme for integrated watershed management, described in the Water Framework Directive. OpenMI interfaces are available for the C# and Java programming languages. OpenMI Association is now in the process of agreement with Open Geospatial Consortium (OGC), so the spatial standards existing in OpenMI 2.0 should be better implemented in the future. The OMS project is pure Java, object-oriented modeling framework coordinated by the U.S. Department of Agriculture. Big advantage of OMS compared to OpenMI is its simplicity of implementation. On the other hand, OpenMI seems to be more powerful and better suited for hydrological models. Finally, OpenMI model was selected as the base interface for the proposed open source hydrological framework. The existing hydrological libraries and models focus usually on just one GIS package (HydroFOSS – GRASS) or one operating system (HydroDesktop – Microsoft Windows). The new hydrological framework should break those limitations. To make hydrological models’ implementation as easy as possible, the framework should be based on a simple, high-level computer language. Low and mid-level languages, like Java (SEXTANTE) or C (GRASS, SAGA) were excluded, as too complicated for regular hydrologist. From popular, high-level languages, Python seems to be a good choice. Leading GIS desktop applications – GRASS and QGIS – use Python as second native language, providing well documented API. This way, a Python-based hydrological library could be easily integrated with any GIS package supporting this programming language. As the OpenMI 2.0 standard supported interfaces only for Java and C#, the Python interface for OpenMI standard, presented in this paper, is the first step done towards the open and interoperable hydrological framework. GIS-related issues of the OpenMI 2.0 standard are also outlined and discussed.
{"title":"Proposal of a Python interface to OpenMI, as the base for open source hydrological framework","authors":"R. Szczepanek","doi":"10.14311/GI.7.8","DOIUrl":"https://doi.org/10.14311/GI.7.8","url":null,"abstract":"Hydrologists need simple, yet powerful, open source framework for developing and testing mathematical models. Such framework should ensure long-term interoperability and high scalability. This can be done by implementation of the existing, already tested standards. At the moment two interesting options exist: Open Modelling Interface (OpenMI) and Object Modeling System (OMS). OpenMI was developed within the Fifth European Framework Programme for integrated watershed management, described in the Water Framework Directive. OpenMI interfaces are available for the C# and Java programming languages. OpenMI Association is now in the process of agreement with Open Geospatial Consortium (OGC), so the spatial standards existing in OpenMI 2.0 should be better implemented in the future. The OMS project is pure Java, object-oriented modeling framework coordinated by the U.S. Department of Agriculture. Big advantage of OMS compared to OpenMI is its simplicity of implementation. On the other hand, OpenMI seems to be more powerful and better suited for hydrological models. Finally, OpenMI model was selected as the base interface for the proposed open source hydrological framework. The existing hydrological libraries and models focus usually on just one GIS package (HydroFOSS – GRASS) or one operating system (HydroDesktop – Microsoft Windows). The new hydrological framework should break those limitations. To make hydrological models’ implementation as easy as possible, the framework should be based on a simple, high-level computer language. Low and mid-level languages, like Java (SEXTANTE) or C (GRASS, SAGA) were excluded, as too complicated for regular hydrologist. From popular, high-level languages, Python seems to be a good choice. Leading GIS desktop applications – GRASS and QGIS – use Python as second native language, providing well documented API. This way, a Python-based hydrological library could be easily integrated with any GIS package supporting this programming language. As the OpenMI 2.0 standard supported interfaces only for Java and C#, the Python interface for OpenMI standard, presented in this paper, is the first step done towards the open and interoperable hydrological framework. GIS-related issues of the OpenMI 2.0 standard are also outlined and discussed.","PeriodicalId":436054,"journal":{"name":"Geoinformatics FCE CTU","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130116790","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
User centred design is an approach in process of development any kind of human product where the main idea is to create a product for the end user. This article presents User centred design method in developing web mapping services. This method can be split into four main phases – user research, creation of concepts, developing with usability research and lunch of product. The article describes each part of this phase with an aim to provide guidelines for developers and primarily with an aim to improve the usability of web mapping services.
{"title":"Developing web map application based on user centered design","authors":"P. Voldan","doi":"10.14311/GI.7.11","DOIUrl":"https://doi.org/10.14311/GI.7.11","url":null,"abstract":"User centred design is an approach in process of development any kind of human product where the main idea is to create a product for the end user. This article presents User centred design method in developing web mapping services. This method can be split into four main phases – user research, creation of concepts, developing with usability research and lunch of product. The article describes each part of this phase with an aim to provide guidelines for developers and primarily with an aim to improve the usability of web mapping services.","PeriodicalId":436054,"journal":{"name":"Geoinformatics FCE CTU","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124127102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The program gama-local is a part of GNU Gama project and allows adjustment of local geodetic networks. Before realization of this project the program gama-local supported only XML as an input. I designed and implemented support for the SQLite database and thanks to this extension gama-local can read input data from the SQLite database. This article is focused on the specifics of the use of callback functions in C++ using the native SQLite C/C++ Application Programming Interface. The article provides solution to safe calling of callback functions written in C++. Callback functions are called from C library and C library itself is used by C++ program. Provided solution combines several programing techniques which are described in detail, so this article can serve as a cookbook even for beginner programmers. This project was accomplished within my bachelor thesis.
{"title":"Implementation of SQLite database support in program gama-local","authors":"V. Petras","doi":"10.14311/GI.7.6","DOIUrl":"https://doi.org/10.14311/GI.7.6","url":null,"abstract":"The program gama-local is a part of GNU Gama project and allows adjustment of local geodetic networks. Before realization of this project the program gama-local supported only XML as an input. I designed and implemented support for the SQLite database and thanks to this extension gama-local can read input data from the SQLite database. This article is focused on the specifics of the use of callback functions in C++ using the native SQLite C/C++ Application Programming Interface. The article provides solution to safe calling of callback functions written in C++. Callback functions are called from C library and C library itself is used by C++ program. Provided solution combines several programing techniques which are described in detail, so this article can serve as a cookbook even for beginner programmers. This project was accomplished within my bachelor thesis.","PeriodicalId":436054,"journal":{"name":"Geoinformatics FCE CTU","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125553566","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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