This paper analyses the structural characteristics (shape, position and condition) of landscape patches in Central Lika according to landscape types and for the landscape of Central Lika as a whole. A set of indicators for the landscape structure was used along with GIS technology. Interrelation of the structural characteristics of landscape patches were determined using regression analysis. When determining the landscape types of Central Lika, a method based on land cover/land use was applied. For this purpose, data from the CORINE database for the year 2012 were used. At the level of the landscape type in Central Lika and the landscape of Central Lika as a whole, a set of indicators for the landscape structure were used, based on a variety of spatial analysis methods: Mean Shape Index – for the landscape patch shapes; Core Area Index – for the condition of the landscape patches, and Average Nearest Neighbour – for the position of the landscape patches. The most important result of this paper was to confirm the correlation between the shape and condition, and between the shape and position of the landscape patches of Central Lika, while no correlation between the condition and position of the landscape patches of Central Lika was found.
{"title":"Structural Characteristics of Patches in the Central Lika Landscape – Application of Spatial and Regression Analysis","authors":"Marta Hamzić, Mladen Pahernik","doi":"10.32909/KG.19.34.2","DOIUrl":"https://doi.org/10.32909/KG.19.34.2","url":null,"abstract":"This paper analyses the structural characteristics (shape, position and condition) of landscape patches in Central Lika according to landscape types and for the landscape of Central Lika as a whole. A set of indicators for the landscape structure was used along with GIS technology. Interrelation of the structural characteristics of landscape patches were determined using regression analysis. When determining the landscape types of Central Lika, a method based on land cover/land use was applied. For this purpose, data from the CORINE database for the year 2012 were used. At the level of the landscape type in Central Lika and the landscape of Central Lika as a whole, a set of indicators for the landscape structure were used, based on a variety of spatial analysis methods: Mean Shape Index – for the landscape patch shapes; Core Area Index – for the condition of the landscape patches, and Average Nearest Neighbour – for the position of the landscape patches. The most important result of this paper was to confirm the correlation between the shape and condition, and between the shape and position of the landscape patches of Central Lika, while no correlation between the condition and position of the landscape patches of Central Lika was found.","PeriodicalId":35029,"journal":{"name":"Kartografija i Geoinformacije","volume":"314 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41258889","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}
Spatial analyses for the City of Zagreb are mostly produced by the Department for Spatial I nformation and Research of the Zagreb City Office for Strategic Planning and Development, which is also the coordinator of Zagreb Infrastructure Spatial Data (Croatian acronym: ZIPP). Based on an extensive database, spatial research, analyses, indicators and analytical bases can be accessed for the needs of strategic planners and other users. Examples from practice are described which are publ icly avai lable on the web pages of the City of Zagreb, and which were produced at the request of city administrative bodies or private use, from analyses of population density, access to publ ic transport, access to publ ic green spaces, the network of preschool and primary school faci l i ties, strategic city projects, capital investments in bui ld ings for social activities, and publ ic architecture-urbanism tenders, to registering damage after the earthquakes in Zagreb. Spatial analyses provide data which encourage the rational use of spatial resources and informed city administration. New features are interactive web appl ications with publ icly avai lable data which achieve transparency on the part of the city administration. One of the advantages is that they can be refreshed in real time.
{"title":"Spatial Analyses for the City of Zagreb – Planning and Management","authors":"Nives Škreblin","doi":"10.32909/kg.19.33.3","DOIUrl":"https://doi.org/10.32909/kg.19.33.3","url":null,"abstract":"Spatial analyses for the City of Zagreb are mostly produced by the Department for Spatial I nformation and Research of the Zagreb City Office for Strategic Planning and Development, which is also the coordinator of Zagreb Infrastructure Spatial Data (Croatian acronym: ZIPP). Based on an extensive database, spatial research, analyses, indicators and analytical bases can be accessed for the needs of strategic planners and other users. Examples from practice are described which are publ icly avai lable on the web pages of the City of Zagreb, and which were produced at the request of city administrative bodies or private use, from analyses of population density, access to publ ic transport, access to publ ic green spaces, the network of preschool and primary school faci l i ties, strategic city projects, capital investments in bui ld ings for social activities, and publ ic architecture-urbanism tenders, to registering damage after the earthquakes in Zagreb. Spatial analyses provide data which encourage the rational use of spatial resources and informed city administration. New features are interactive web appl ications with publ icly avai lable data which achieve transparency on the part of the city administration. One of the advantages is that they can be refreshed in real time.","PeriodicalId":35029,"journal":{"name":"Kartografija i Geoinformacije","volume":"19 1","pages":"34-53"},"PeriodicalIF":0.0,"publicationDate":"2020-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42684103","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 is dedicated to Vincenc Hlavinka (1862–1934), a civil engineer and geodesist during his 23-year academic career in Zagreb, Croatia, where he moved after graduating from Vienna. The aim of the paper is to present his career as a lecturer, his projects, and his contribution to the development of geodesy and architecture in Croatia. In addition, the paper aims to present his scientific activities after his return to Czechoslovakia, where he was professor of engineering, rector, and dean in Brno. Upon his return to Czechoslovakia, Hlavinka focused on strengthening relationships between Czechoslovakia and Croatia. For this reason, this paper also covers Hlavinka’s involvement in an association called the Czechoslovak-South Slavic League. As chairman of the association, he organized individual and group tours to Yugoslavia, contributed to the establishment of the SouthSlavic Campus in Srbská Street in Brno, and provided support for the Croatian minority in southern Moravia. In 1931, Hlavinka was awared the St. Sava Medal (Grade III) by King Alexander I, in recognition of his long career closely connected with Croatia, and for his efforts to foster Czechoslovak-South Slavic cooperation.
{"title":"Vincenc Vinko Hlavinka and his Significance for Croatian Geodesy and Czechoslovak-Croatian Relationships","authors":"K. Kolářová","doi":"10.32909/kg.19.33.6","DOIUrl":"https://doi.org/10.32909/kg.19.33.6","url":null,"abstract":"This paper is dedicated to Vincenc Hlavinka (1862–1934), a civil engineer and geodesist during his 23-year academic career in Zagreb, Croatia, where he moved after graduating from Vienna. The aim of the paper is to present his career as a lecturer, his projects, and his contribution to the development of geodesy and architecture in Croatia. In addition, the paper aims to present his scientific activities after his return to Czechoslovakia, where he was professor of engineering, rector, and dean in Brno. Upon his return to Czechoslovakia, Hlavinka focused on strengthening relationships between Czechoslovakia and Croatia. For this reason, this paper also covers Hlavinka’s involvement in an association called the Czechoslovak-South Slavic League. As chairman of the association, he organized individual and group tours to Yugoslavia, contributed to the establishment of the SouthSlavic Campus in Srbská Street in Brno, and provided support for the Croatian minority in southern Moravia. In 1931, Hlavinka was awared the St. Sava Medal (Grade III) by King Alexander I, in recognition of his long career closely connected with Croatia, and for his efforts to foster Czechoslovak-South Slavic cooperation.","PeriodicalId":35029,"journal":{"name":"Kartografija i Geoinformacije","volume":"19 1","pages":"78-93"},"PeriodicalIF":0.0,"publicationDate":"2020-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46695040","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}
Map projections are an area of cartography with a firm mathematical foundation for their creation and display provid ing a basis for a knowledge representation. Using only variations on a single equation set, an infin ite number of projections can be created, but less than 1 00 are in active use. Because each projection preserves specific characteristics, such as area, angles, global look, or a compromise of properties, classifications of map projections have been developed to aid in knowledge representation. These classifications are used for decision-making. They help select the correct projection for the map use. They assist users with determining the correct orientation, standard paral lels and merid ians. The classifications also inform the user how to adjust the selection based on size, extent, and latitude. Semantics can be used to automate map projections knowledge into a knowledge base that can be accessed by humans and machines. This work detai ls a semantic representation of map projections knowledge and provides a simple example of a use case that exploits the knowledge base.
{"title":"Semantically Enabling Map Projections Knowledge","authors":"E. L. Usery","doi":"10.32909/kg.19.33.5","DOIUrl":"https://doi.org/10.32909/kg.19.33.5","url":null,"abstract":"Map projections are an area of cartography with a firm mathematical foundation for their creation and display provid ing a basis for a knowledge representation. Using only variations on a single equation set, an infin ite number of projections can be created, but less than 1 00 are in active use. Because each projection preserves specific characteristics, such as area, angles, global look, or a compromise of properties, classifications of map projections have been developed to aid in knowledge representation. These classifications are used for decision-making. They help select the correct projection for the map use. They assist users with determining the correct orientation, standard paral lels and merid ians. The classifications also inform the user how to adjust the selection based on size, extent, and latitude. Semantics can be used to automate map projections knowledge into a knowledge base that can be accessed by humans and machines. This work detai ls a semantic representation of map projections knowledge and provides a simple example of a use case that exploits the knowledge base.","PeriodicalId":35029,"journal":{"name":"Kartografija i Geoinformacije","volume":"19 1","pages":"66-77"},"PeriodicalIF":0.0,"publicationDate":"2020-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46640842","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}
Growing cl imate threats require adequate action from the world community and individual countries. Therefore, today it is extremely important for international and national sustainable development pol icies to obtain rel iable data on the attitude of the publ ic in different countries to the issue of cl imate change. An increase in the level of awareness of the world ' s population regarding cl imate change may be used as a rel iable indicator of this issue. A promising tool for studying it is the Google Trends search query counting service. The article presents a comparative analysis of interest in cl imate change in the cities of the world and actual cl imate variabi l i ty in these cities. To i l lustrate the processes of cl imate change, the temperature variabi l i ty ratings for the largest cities of the world and Russia for a period of 36 years between 1 980 are 201 6 are given. I t is shown that for Russia, cl imate problems become more urgent with the occurrence of significant negative consequences. Cl imate issues are becoming more important for Russia, but the awareness of significant negative consequences is negl ig ible. As a result, there is a low correlation between global search and temperature trends.
{"title":"Search Activity in Google as an Indicator of Interest in the Issue of Climate Change in Cities","authors":"V. Tikunov, O. Chereshnya, M. Gribok","doi":"10.32909/kg.19.33.4","DOIUrl":"https://doi.org/10.32909/kg.19.33.4","url":null,"abstract":"Growing cl imate threats require adequate action from the world community and individual countries. Therefore, today it is extremely important for international and national sustainable development pol icies to obtain rel iable data on the attitude of the publ ic in different countries to the issue of cl imate change. An increase in the level of awareness of the world ' s population regarding cl imate change may be used as a rel iable indicator of this issue. A promising tool for studying it is the Google Trends search query counting service. The article presents a comparative analysis of interest in cl imate change in the cities of the world and actual cl imate variabi l i ty in these cities. To i l lustrate the processes of cl imate change, the temperature variabi l i ty ratings for the largest cities of the world and Russia for a period of 36 years between 1 980 are 201 6 are given. I t is shown that for Russia, cl imate problems become more urgent with the occurrence of significant negative consequences. Cl imate issues are becoming more important for Russia, but the awareness of significant negative consequences is negl ig ible. As a result, there is a low correlation between global search and temperature trends.","PeriodicalId":35029,"journal":{"name":"Kartografija i Geoinformacije","volume":"19 1","pages":"54-65"},"PeriodicalIF":0.0,"publicationDate":"2020-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45134428","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 aim of this paper, based on three maps of the Croatian lands by Stjepan Glavac, Pierre Duval and Johann Christoph Weigl, is to show or rather prove the presence of propaganda messages in cartography as a scientific discipline. The maps were chosen because in research conducted to date, no propaganda elements conveying hidden messages in the area they depict have been identified. The maps reveal elements of propaganda which will be critically interpreted. In the conclusion, a short review of the paper is presented with all the maps and a personal opinion about the maps as propaganda media of that time.
本文以Stjepan Glavac、Pierre Duval和Johann Christoph Weigl的三幅克罗地亚土地地图为基础，旨在展示或更确切地说，证明制图作为一门科学学科中存在宣传信息。之所以选择这些地图，是因为在迄今为止进行的研究中，没有发现在地图所描绘的地区传递隐藏信息的宣传分子。这些地图揭示了一些将被批判性解读的宣传元素。在结语部分，对本文进行了简要的回顾，包括所有的地图以及对当时地图作为宣传媒介的个人看法。
{"title":"Symbolism and Propaganda Versus Cartographic Scientific Consistency – Three Maps by Pierre Duval, Stjepan Glavač and Johann Christoph Weigl","authors":"Sven Lončar","doi":"10.32909/KG.19.33.2","DOIUrl":"https://doi.org/10.32909/KG.19.33.2","url":null,"abstract":"The aim of this paper, based on three maps of the Croatian lands by Stjepan Glavac, Pierre Duval and Johann Christoph Weigl, is to show or rather prove the presence of propaganda messages in cartography as a scientific discipline. The maps were chosen because in research conducted to date, no propaganda elements conveying hidden messages in the area they depict have been identified. The maps reveal elements of propaganda which will be critically interpreted. In the conclusion, a short review of the paper is presented with all the maps and a personal opinion about the maps as propaganda media of that time.","PeriodicalId":35029,"journal":{"name":"Kartografija i Geoinformacije","volume":"19 1","pages":"18-33"},"PeriodicalIF":0.0,"publicationDate":"2020-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46393546","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}
S. Krylov, G. Zagrebin, Dmitriy Mosolov, Irina Shkurenkova
The features, advantages and disadvantages of using QGIS, ArcGIS and MapInfo Pro when creating atlases of various types (geographic, complex and thematic) are considered in this paper. Schemes for their potential organization are presented and technological schemes for their automated creation in these geographic information systems are proposed. As a result, approaches and solutions for improving geographic information software can be formulated. Algorithms and modules were developed, primarily aimed at formalizing the structure of atlases and automating the design process of their mathematical basis. The development of functionality was implemented using built-in developer tools implemented in MapInfo as the MapBasic language, and in ArcGIS and QGIS in the Python programming language. A summary table was compiled, which presents the basic functionalities required to create atlases in GIS and their implementation in the appropriate software. These proposals will ensure the fulfillment of all requirements necessary for atlas design, primarily at the regional mapping level.
{"title":"Approaches and Solutions for Creating Atlases in Geographic Information Systems","authors":"S. Krylov, G. Zagrebin, Dmitriy Mosolov, Irina Shkurenkova","doi":"10.32909/KG.19.33.1","DOIUrl":"https://doi.org/10.32909/KG.19.33.1","url":null,"abstract":"The features, advantages and disadvantages of using QGIS, ArcGIS and MapInfo Pro when creating atlases of various types (geographic, complex and thematic) are considered in this paper. Schemes for their potential organization are presented and technological schemes for their automated creation in these geographic information systems are proposed. As a result, approaches and solutions for improving geographic information software can be formulated. Algorithms and modules were developed, primarily aimed at formalizing the structure of atlases and automating the design process of their mathematical basis. The development of functionality was implemented using built-in developer tools implemented in MapInfo as the MapBasic language, and in ArcGIS and QGIS in the Python programming language. A summary table was compiled, which presents the basic functionalities required to create atlases in GIS and their implementation in the appropriate software. These proposals will ensure the fulfillment of all requirements necessary for atlas design, primarily at the regional mapping level.","PeriodicalId":35029,"journal":{"name":"Kartografija i Geoinformacije","volume":"19 1","pages":"4-17"},"PeriodicalIF":0.0,"publicationDate":"2020-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41408192","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}
Le Le, Lin Tang-Huang, C. Le, Lan Thi Pham, Ha Thi Thu Le, Long Quoc Nguyen, Nghia Viet Nguyen, Cuong Xuan Cao
Aerosol optical depth (AOD) can be retrieved accurately with sequential ground-based measurements of direct and diffuse solar radiance. However, spatial coverage and location frequency cause certain limitations. Hence, satellite image data are a proper tool for obtaining aerosol optical depth products with more spatial information and patterns of aerosol distribution. Currently, aerosol remote sensing may enhance our understanding of the optimal approach to AOD retrieval over urban and rural areas, and how it differs due to the characteristics of surface reflectivity. The article deals with the concepts of contrast reduction, and dark target approaches are examined using Landsat imaging and the observation of a sun photometer for integrating aerosol optical depth distribution over the city of Taipei in Taiwan. For areas with bright surfaces, such as urban areas, the above concepts were applied using the dispersion coefficient method with a sun photometer, in order to reduce errors considerably in the product. In contrast, a dark target algorithm with a relationship of surface reflectance between the blue (0.49 μm), red (0.66 μm), and infrared (2.1 μm) spectral bands is suitable for moist soils and vegetation areas. The retrieval of AOD spatial distribution is compared with MODIS AOD products and AERONET to verify the accuracy of the results. The RMSE ranged from 0.2 to 0.4, and about 50% of the data were within expected error margins (EE=± (0.05+0.15 AODsunphotometer).
{"title":"Retrieval of Aerosol Optical Depth Using Satellite Data Associated with Ground-based Observations over Urban and Rural Areas","authors":"Le Le, Lin Tang-Huang, C. Le, Lan Thi Pham, Ha Thi Thu Le, Long Quoc Nguyen, Nghia Viet Nguyen, Cuong Xuan Cao","doi":"10.32909/kg.18.32.1","DOIUrl":"https://doi.org/10.32909/kg.18.32.1","url":null,"abstract":"Aerosol optical depth (AOD) can be retrieved accurately with sequential ground-based measurements of direct and diffuse solar radiance. However, spatial coverage and location frequency cause certain limitations. Hence, satellite image data are a proper tool for obtaining aerosol optical depth products with more spatial information and patterns of aerosol distribution. Currently, aerosol remote sensing may enhance our understanding of the optimal approach to AOD retrieval over urban and rural areas, and how it differs due to the characteristics of surface reflectivity. The article deals with the concepts of contrast reduction, and dark target approaches are examined using Landsat imaging and the observation of a sun photometer for integrating aerosol optical depth distribution over the city of Taipei in Taiwan. For areas with bright surfaces, such as urban areas, the above concepts were applied using the dispersion coefficient method with a sun photometer, in order to reduce errors considerably in the product. In contrast, a dark target algorithm with a relationship of surface reflectance between the blue (0.49 μm), red (0.66 μm), and infrared (2.1 μm) spectral bands is suitable for moist soils and vegetation areas. The retrieval of AOD spatial distribution is compared with MODIS AOD products and AERONET to verify the accuracy of the results. The RMSE ranged from 0.2 to 0.4, and about 50% of the data were within expected error margins (EE=± (0.05+0.15 AODsunphotometer).","PeriodicalId":35029,"journal":{"name":"Kartografija i Geoinformacije","volume":"18 1","pages":"4-17"},"PeriodicalIF":0.0,"publicationDate":"2020-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43673750","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}
A. Innac, A. Angrisano, S. Gaglione, M. Vultaggio, N. Crocetto
Precise Point Positioning (PPP) is a technique able to compute high accuracy positioning anywhere using a single GNSS receiver and without the need for corrections from reference stations. A wide range of possible PPP algorithms, using different correction models and processing strategies, exist for both post-processing and real-time appl ications. PPP rel ies on accurate satel l i te and clock data, with the use of precise carrier-phase measurements. Single Frequency-PPP (SF-PPP) is currently under investigation by the scientific community, owing to its cheap implementation with respect to classical d ifferential positioning and multi-frequency un-differenced techniques. Unfortunately, the carrier-phase observable is ambiguous by an a priori unknown integer number of cycles, cal led ambiguity, which is difficult to resolve with SF receivers. The aim of this paper was to study the opportunity provided by the use of a multi-GNSS constel lation appl ied to two widespread SF-PPP models, based on different carrier-phase and code observable combinations. The algorithms were tested using static data col lection carried out in an opensky scenario. The results show decimeter level accuracy on the horizontal and vertical components of the position.
{"title":"Performance Comparison among Multi-GNSS Single Frequency Precise Point Positioning Techniques","authors":"A. Innac, A. Angrisano, S. Gaglione, M. Vultaggio, N. Crocetto","doi":"10.32909/kg.18.32.6","DOIUrl":"https://doi.org/10.32909/kg.18.32.6","url":null,"abstract":"Precise Point Positioning (PPP) is a technique able to compute high accuracy positioning anywhere using a single GNSS receiver and without the need for corrections from reference stations. A wide range of possible PPP algorithms, using different correction models and processing strategies, exist for both post-processing and real-time appl ications. PPP rel ies on accurate satel l i te and clock data, with the use of precise carrier-phase measurements. Single Frequency-PPP (SF-PPP) is currently under investigation by the scientific community, owing to its cheap implementation with respect to classical d ifferential positioning and multi-frequency un-differenced techniques. Unfortunately, the carrier-phase observable is ambiguous by an a priori unknown integer number of cycles, cal led ambiguity, which is difficult to resolve with SF receivers. The aim of this paper was to study the opportunity provided by the use of a multi-GNSS constel lation appl ied to two widespread SF-PPP models, based on different carrier-phase and code observable combinations. The algorithms were tested using static data col lection carried out in an opensky scenario. The results show decimeter level accuracy on the horizontal and vertical components of the position.","PeriodicalId":35029,"journal":{"name":"Kartografija i Geoinformacije","volume":"18 1","pages":"80-99"},"PeriodicalIF":0.0,"publicationDate":"2019-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46595691","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}
We are witnessing great developments in digital information technologies. The situation encroaches on spatial data, which contain both attributive and localization features, and this determines their position unequally within an obligatory coordinate system. These changes have resulted in the rapid growth of digital data, significantly supported by technical advances regarding the devices which produce them. As technology for making spatial data advances, methods and software for big data processing are falling behind. Paradoxically, only about 2% of the total volume of data is actually used. Big data processing often requires high computation performance hardware and software. Only a few users possess the appropriate information infrastructure. The proportion of processed data would improve if big data could be processed by ordinary users. In geographical information systems (GIS), these problems arise when solving projects related to extensive territory or considerable secondary complexity, which require big data processing. This paper focuses on the creation and verification of methods by which it would be possible to process effectively extensive projects in GIS supported by desktop hardware and software. It is a project regarding new quick methods for the functional reduction of the data volume, optimization of processing, edge detection in 3D and automated vectorization.
{"title":"Solving Big GIS Projects on Desktop Computers","authors":"D. Bartoněk","doi":"10.32909/kg.18.32.4","DOIUrl":"https://doi.org/10.32909/kg.18.32.4","url":null,"abstract":"We are witnessing great developments in digital information technologies. The situation encroaches on spatial data, which contain both attributive and localization features, and this determines their position unequally within an obligatory coordinate system. These changes\u0000have resulted in the rapid growth of digital data, significantly supported by technical advances regarding the devices which produce them. As technology for making spatial data advances, methods and software for big data processing are falling behind. Paradoxically, only\u0000about 2% of the total volume of data is actually used. Big\u0000data processing often requires high computation performance hardware and software. Only a few users possess the appropriate information infrastructure. The proportion of processed data would improve if big data could be processed by ordinary users. In geographical information systems (GIS), these problems arise when solving projects related to extensive territory or considerable secondary complexity, which require big data processing. This paper focuses on the creation and verification of methods by which it would be possible to process effectively extensive projects in GIS supported by desktop hardware and software. It is a project regarding new quick methods for the functional reduction of the data volume, optimization of processing, edge detection in 3D and automated vectorization.","PeriodicalId":35029,"journal":{"name":"Kartografija i Geoinformacije","volume":"18 1","pages":"44-62"},"PeriodicalIF":0.0,"publicationDate":"2019-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42995306","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：