Pub Date : 2015-04-28DOI: 10.5220/0005469301850190
Juan Daniel Castillo Rosas, Mª Amparo Núñez Andrés, J. Fierro, Alex Jiménez Vélez
This paper presents the progress of a research work that seeks to establish prospective spatio-temporal locations of goods, services or events in a given territory primarily through the application of concepts and/or tools that combine Collective Intelligence (CI), Geographic Information Science (GISc) and Complexity Theory. Relying on this notion, probable and plausible future scenarios could be projected to conduct various studies within the context of the Geoprospective (an emerging field of research aimed at issues of territorial forecasting), which might provide valuable alternatives in the decision-making process in order to carry out anticipatory actions to achieve or avoid such scenarios. In the light of the above, it is suggested that this kind of Collective Spatial Analysis (CSA) would provide a new paradigm about how to perform spatial analysis, the same that is based on a cognitive approach of a multidisciplinary group of users who collectively participate with their knowledge on an interdisciplinary basis, and not from a limited single user approach that uses geometric, statistical or mathematical geoprocessing algorithms.
{"title":"Towards a collective spatial analysis: Proposal of a new paradigm for supporting the spatial decision-making from a Geoprospective approach","authors":"Juan Daniel Castillo Rosas, Mª Amparo Núñez Andrés, J. Fierro, Alex Jiménez Vélez","doi":"10.5220/0005469301850190","DOIUrl":"https://doi.org/10.5220/0005469301850190","url":null,"abstract":"This paper presents the progress of a research work that seeks to establish prospective spatio-temporal locations of goods, services or events in a given territory primarily through the application of concepts and/or tools that combine Collective Intelligence (CI), Geographic Information Science (GISc) and Complexity Theory. Relying on this notion, probable and plausible future scenarios could be projected to conduct various studies within the context of the Geoprospective (an emerging field of research aimed at issues of territorial forecasting), which might provide valuable alternatives in the decision-making process in order to carry out anticipatory actions to achieve or avoid such scenarios. In the light of the above, it is suggested that this kind of Collective Spatial Analysis (CSA) would provide a new paradigm about how to perform spatial analysis, the same that is based on a cognitive approach of a multidisciplinary group of users who collectively participate with their knowledge on an interdisciplinary basis, and not from a limited single user approach that uses geometric, statistical or mathematical geoprocessing algorithms.","PeriodicalId":404783,"journal":{"name":"2015 1st International Conference on Geographical Information Systems Theory, Applications and Management (GISTAM)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116101322","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}
Pub Date : 2015-04-28DOI: 10.5220/0005472501410147
R. Al-Habsi, Yaseen A. Al-Mulla, Yassine Charabi, H. Al-Busaidi, M. Al-Belushi
The upgrade rate of self-sufficiency in wheat depends largely on the amount of water and land to achieve the quantity and proportion of self-sufficiency target. The climatic and soil conditions, however, are dynamic conditions. Hence, these conditions seriously limit the capability of providing the optimum tempo-spatial required data to assist in improving the wheat production unless specialized sensors are utilized along with excessive work. That implies the crucial need of using computer simulation models. The general objective is of this study was to delineate the best location for wheat production in arid regions such as Oman through linking Wheat Simulation Model (WSM) with Numeric Weather Prediction Model (NWPM) in Geographical Information Systems (GIS). The GIS application software used in this study was the ESRI ArcGIS. Four field trials, over two seasons, have validated positively the linkage of the developed WSM with GIS. The developed model can be promoted as a tool of improving wheat cultivation through making the most of available water in wheat production and increasing the growing acreage of wheat in arid regions like Oman.
{"title":"Integrating GIS and numeric weather prediction model with wheat simulation model for optimal wheat production locations in arid regions","authors":"R. Al-Habsi, Yaseen A. Al-Mulla, Yassine Charabi, H. Al-Busaidi, M. Al-Belushi","doi":"10.5220/0005472501410147","DOIUrl":"https://doi.org/10.5220/0005472501410147","url":null,"abstract":"The upgrade rate of self-sufficiency in wheat depends largely on the amount of water and land to achieve the quantity and proportion of self-sufficiency target. The climatic and soil conditions, however, are dynamic conditions. Hence, these conditions seriously limit the capability of providing the optimum tempo-spatial required data to assist in improving the wheat production unless specialized sensors are utilized along with excessive work. That implies the crucial need of using computer simulation models. The general objective is of this study was to delineate the best location for wheat production in arid regions such as Oman through linking Wheat Simulation Model (WSM) with Numeric Weather Prediction Model (NWPM) in Geographical Information Systems (GIS). The GIS application software used in this study was the ESRI ArcGIS. Four field trials, over two seasons, have validated positively the linkage of the developed WSM with GIS. The developed model can be promoted as a tool of improving wheat cultivation through making the most of available water in wheat production and increasing the growing acreage of wheat in arid regions like Oman.","PeriodicalId":404783,"journal":{"name":"2015 1st International Conference on Geographical Information Systems Theory, Applications and Management (GISTAM)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129766541","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}
Pub Date : 2015-04-28DOI: 10.5220/0005371700720082
J. P. Suárez, A. Trujillo, Conrado Domínguez, J. M. Santana, Pablo Fernández
Nowadays, new technologies assist the capture and analysis of data for all kinds of organizations. A good example of this trend are the seaports that generate data regarding the management of marine traffic and other elements, as well as environmental conditions given by meteorological sensors and buoys. However, this enormous amount of data, also known as “Big Data”, is useless without a proper system to visualize and organize them. Governments are fully aware of this and promote the creation of visualization and control systems that are useful to port authorities. In the line of management systems based on GIS, the SmartPort project has been developed. SmartPort offers a rich-internet application that allows the user to visualize and manage the different sources of information of a port environment. The “Big Data” management is based on the FI-WARE tools and architecture, as well as “The Internet of Things” solutions for the data acquisition. At the same time, the Glob3 Mobile SDK for the development of map apps will support the 3D visualization of the port's scenery and its data sources.
{"title":"Managing and 3D visualization of real-time big geo-referenced data from Las Palmas port through a flexible open source computer architecture","authors":"J. P. Suárez, A. Trujillo, Conrado Domínguez, J. M. Santana, Pablo Fernández","doi":"10.5220/0005371700720082","DOIUrl":"https://doi.org/10.5220/0005371700720082","url":null,"abstract":"Nowadays, new technologies assist the capture and analysis of data for all kinds of organizations. A good example of this trend are the seaports that generate data regarding the management of marine traffic and other elements, as well as environmental conditions given by meteorological sensors and buoys. However, this enormous amount of data, also known as “Big Data”, is useless without a proper system to visualize and organize them. Governments are fully aware of this and promote the creation of visualization and control systems that are useful to port authorities. In the line of management systems based on GIS, the SmartPort project has been developed. SmartPort offers a rich-internet application that allows the user to visualize and manage the different sources of information of a port environment. The “Big Data” management is based on the FI-WARE tools and architecture, as well as “The Internet of Things” solutions for the data acquisition. At the same time, the Glob3 Mobile SDK for the development of map apps will support the 3D visualization of the port's scenery and its data sources.","PeriodicalId":404783,"journal":{"name":"2015 1st International Conference on Geographical Information Systems Theory, Applications and Management (GISTAM)","volume":"50 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129346613","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}
Pub Date : 2015-04-28DOI: 10.5220/0005349000540060
J. Mas, G. Cuevas
The document that should appear here is not currently available.
这里应该出现的文档目前不可用。
{"title":"Local deforestation patterns in Mexico - An approach using geographiccally weighted regression","authors":"J. Mas, G. Cuevas","doi":"10.5220/0005349000540060","DOIUrl":"https://doi.org/10.5220/0005349000540060","url":null,"abstract":"The document that should appear here is not currently available.","PeriodicalId":404783,"journal":{"name":"2015 1st International Conference on Geographical Information Systems Theory, Applications and Management (GISTAM)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132166501","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}
Pub Date : 2015-04-28DOI: 10.5220/0005365500610071
J. Almendros-Jiménez, A. Becerra-Terón
In this paper we present a library for querying Open Street Map (OSM) with XQuery. This library is based on the well-known spatial operators defined by Clementini and Egenhofer, providing a repertoire of XQuery functions which encapsulate the search on the XML document representing a layer of OSM, and make the definition of queries on top of OSM layers easy. In essence, the library provides a repertoire of OSM Operators for points and lines which, in combination with Higher Order facilities of XQuery, facilitates the composition of queries and the definition of keyword based search geo-localized queries. OSM data are indexed by an R-tree structure, in which points and lines are enclosed by Minimum Bounding Rectangles (MBRs), in order to get shorter answer time.
本文提出了一个用XQuery查询开放街道地图(Open Street Map, OSM)的库。该库基于Clementini和Egenhofer定义的众所周知的空间操作符,提供了一系列XQuery函数,这些函数封装了在表示OSM层的XML文档上的搜索,并使在OSM层之上定义查询变得容易。本质上,该库为点和线提供了一系列OSM操作符,这些操作符与XQuery的Higher Order功能相结合,有助于组合查询和定义基于关键字的搜索地理本地化查询。OSM数据采用r树结构进行索引,其中点和线由最小边界矩形(Minimum Bounding Rectangles, mbr)包围,以获得更短的应答时间。
{"title":"Querying open street map with XQuery","authors":"J. Almendros-Jiménez, A. Becerra-Terón","doi":"10.5220/0005365500610071","DOIUrl":"https://doi.org/10.5220/0005365500610071","url":null,"abstract":"In this paper we present a library for querying Open Street Map (OSM) with XQuery. This library is based on the well-known spatial operators defined by Clementini and Egenhofer, providing a repertoire of XQuery functions which encapsulate the search on the XML document representing a layer of OSM, and make the definition of queries on top of OSM layers easy. In essence, the library provides a repertoire of OSM Operators for points and lines which, in combination with Higher Order facilities of XQuery, facilitates the composition of queries and the definition of keyword based search geo-localized queries. OSM data are indexed by an R-tree structure, in which points and lines are enclosed by Minimum Bounding Rectangles (MBRs), in order to get shorter answer time.","PeriodicalId":404783,"journal":{"name":"2015 1st International Conference on Geographical Information Systems Theory, Applications and Management (GISTAM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130957975","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}
Pub Date : 2015-04-28DOI: 10.5220/0005465502270232
P. C. Azevedo, G. S. Bastos, Fernando Silva Parreiras
The availability of open government data offers an easy way to mix and match these data to create new knowledge. Geographic Information Systems powered by Semantic Web technologies and linked data result in an integration of data from multiple sources, facilitating its use and enhancing the discovery and dissemination of new knowledge. In this work, we present a prototype application that integrates heterogeneous data located in various public organizations, related to flooding in Rio Doce Basin — Brazil. For this purpose, data were converted to RDF format, linked and displayed on a Geographic Information System, through SPARQL queries. We validate our approach using a proof of concept. The results show that our proposal of liking open data about flood information is able to answer the identified competency questions.
{"title":"A linked open data approach for visualizing flood information: A case study of the Rio Doce Basin in Brazil","authors":"P. C. Azevedo, G. S. Bastos, Fernando Silva Parreiras","doi":"10.5220/0005465502270232","DOIUrl":"https://doi.org/10.5220/0005465502270232","url":null,"abstract":"The availability of open government data offers an easy way to mix and match these data to create new knowledge. Geographic Information Systems powered by Semantic Web technologies and linked data result in an integration of data from multiple sources, facilitating its use and enhancing the discovery and dissemination of new knowledge. In this work, we present a prototype application that integrates heterogeneous data located in various public organizations, related to flooding in Rio Doce Basin — Brazil. For this purpose, data were converted to RDF format, linked and displayed on a Geographic Information System, through SPARQL queries. We validate our approach using a proof of concept. The results show that our proposal of liking open data about flood information is able to answer the identified competency questions.","PeriodicalId":404783,"journal":{"name":"2015 1st International Conference on Geographical Information Systems Theory, Applications and Management (GISTAM)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121244407","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}
Pub Date : 2015-04-28DOI: 10.5220/0005377601700177
C. Jones, V. Maquil
Maps as learning, exploration and analysis tools have great power to aid understanding of complex phenomena and to instigate and engage discussion. To date, web-mapping platforms have largely contributed to the public availability of geospatial information. Tangible user interfaces (TUI) as an emerging class of interfaces, have a clear potential for improving collaboration around geospatial data, as well as increase geospatial understanding, but to realise this potential they must be easy and straightforward to learn and use. To date, there is a lack of research centred on human interactions with geospatial tangible applications. This paper reports on the results of an initial qualitative usability study carried with novice users on a geospatial tangible table. It discusses aspects related to cartographic elements, object manipulations, and offline interactions, to create an initial set of usability guidelines for geo-tangible tables.
{"title":"Twist, shift, or stack? Usability analysis of geospatial interactions on a tangible tabletop","authors":"C. Jones, V. Maquil","doi":"10.5220/0005377601700177","DOIUrl":"https://doi.org/10.5220/0005377601700177","url":null,"abstract":"Maps as learning, exploration and analysis tools have great power to aid understanding of complex phenomena and to instigate and engage discussion. To date, web-mapping platforms have largely contributed to the public availability of geospatial information. Tangible user interfaces (TUI) as an emerging class of interfaces, have a clear potential for improving collaboration around geospatial data, as well as increase geospatial understanding, but to realise this potential they must be easy and straightforward to learn and use. To date, there is a lack of research centred on human interactions with geospatial tangible applications. This paper reports on the results of an initial qualitative usability study carried with novice users on a geospatial tangible table. It discusses aspects related to cartographic elements, object manipulations, and offline interactions, to create an initial set of usability guidelines for geo-tangible tables.","PeriodicalId":404783,"journal":{"name":"2015 1st International Conference on Geographical Information Systems Theory, Applications and Management (GISTAM)","volume":"328 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121252348","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}
Pub Date : 2015-04-28DOI: 10.5220/0005376700940102
L. Ragia, Froso Sarri, K. Mania
This paper puts forward a 3D reconstruction methodology applied to the restoration of historic buildings taking advantage of the combined speed, range and accuracy of a total geodetic station. The measurements of geo-referenced points produced a fully interactive and photorealistic geometric mesh of an historic monument named `Neoria'. `Neoria' is a Venetian building located by the old harbour at Chania, Crete, Greece. The integration of tacheometry acquisition and computer graphics puts forward a novel integrated software framework for the accurate 3D reconstruction of a historical building. The main technical challenge of this work was the production of an accurate 3D mesh based on a sufficient number of tacheometry measurements acquired fast and at low-cost. Interpolation methods ensured that a detailed geometric mesh was constructed based on a few points. Advanced interactive functionalities are offered to the user in relation to identifying restoration areas and visualizing the outcome of such works in a fully interactive application based on game engine technologies. Moreover, the user could photorealistically visualize the actual or restored monument and calculate distances between points.
{"title":"3D reconstruction and visualization of alternatives for restoration of historic buildings: A new approach","authors":"L. Ragia, Froso Sarri, K. Mania","doi":"10.5220/0005376700940102","DOIUrl":"https://doi.org/10.5220/0005376700940102","url":null,"abstract":"This paper puts forward a 3D reconstruction methodology applied to the restoration of historic buildings taking advantage of the combined speed, range and accuracy of a total geodetic station. The measurements of geo-referenced points produced a fully interactive and photorealistic geometric mesh of an historic monument named `Neoria'. `Neoria' is a Venetian building located by the old harbour at Chania, Crete, Greece. The integration of tacheometry acquisition and computer graphics puts forward a novel integrated software framework for the accurate 3D reconstruction of a historical building. The main technical challenge of this work was the production of an accurate 3D mesh based on a sufficient number of tacheometry measurements acquired fast and at low-cost. Interpolation methods ensured that a detailed geometric mesh was constructed based on a few points. Advanced interactive functionalities are offered to the user in relation to identifying restoration areas and visualizing the outcome of such works in a fully interactive application based on game engine technologies. Moreover, the user could photorealistically visualize the actual or restored monument and calculate distances between points.","PeriodicalId":404783,"journal":{"name":"2015 1st International Conference on Geographical Information Systems Theory, Applications and Management (GISTAM)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116791137","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}
Pub Date : 2015-04-28DOI: 10.5220/0005349501950200
L. Steere, N. Rosenzweig, W. Kirk
A recent survey of potato (Solanum tuberosum) growers in the state of Michigan identified that soilborne pathogens were causing concerns as to whether growers would be able to continue to meet the high demands for marketable potatoes. Of these soilborne pathogens, Verticillium dahliae is one of the most concerning due to its direct correlation with yield decline and its persistence in the soil. Following the survey a statewide soil study was conducted to study soilborne pathogens and their interactions with multiple abiotic and biotic factors. The use of geostatistics and geographical information systems (GIS) were incorporated into this study to assess the spatially distribution of colonies of V. dahliae across a field and to use geostatistical methods to determine V. dahliae inoculum levels throughout the entire field from 20 soil samples. Furthermore, the research team incorporated the use of a nonlinear indicator Kriging method to create conditional probability maps of soilborne pathogen inoculum levels and predict where inoculum levels would be high enough to result in infection. The methods presented in this paper evaluated conditional probability mapping of soilborne plant pathogens for the potential to become a practical crop management tool for commercial potato growers.
{"title":"Conditional probability and integrated pest management: Using a nonlinear Kriging technique to predict infectious levels of Verticillium dahliae in Michigan potato fields","authors":"L. Steere, N. Rosenzweig, W. Kirk","doi":"10.5220/0005349501950200","DOIUrl":"https://doi.org/10.5220/0005349501950200","url":null,"abstract":"A recent survey of potato (Solanum tuberosum) growers in the state of Michigan identified that soilborne pathogens were causing concerns as to whether growers would be able to continue to meet the high demands for marketable potatoes. Of these soilborne pathogens, Verticillium dahliae is one of the most concerning due to its direct correlation with yield decline and its persistence in the soil. Following the survey a statewide soil study was conducted to study soilborne pathogens and their interactions with multiple abiotic and biotic factors. The use of geostatistics and geographical information systems (GIS) were incorporated into this study to assess the spatially distribution of colonies of V. dahliae across a field and to use geostatistical methods to determine V. dahliae inoculum levels throughout the entire field from 20 soil samples. Furthermore, the research team incorporated the use of a nonlinear indicator Kriging method to create conditional probability maps of soilborne pathogen inoculum levels and predict where inoculum levels would be high enough to result in infection. The methods presented in this paper evaluated conditional probability mapping of soilborne plant pathogens for the potential to become a practical crop management tool for commercial potato growers.","PeriodicalId":404783,"journal":{"name":"2015 1st International Conference on Geographical Information Systems Theory, Applications and Management (GISTAM)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115270025","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}
Pub Date : 2015-04-28DOI: 10.5220/0005470200340039
E. Donadio, A. Spanò
Stratigraphic analysis, used in principle for study of archaeological excavation, has been adapted and applied to upstanding structures with the same aim to reconstruct a building's history. Stratigraphy, as well as data excavation management, has found a useful and versatile tool in geographic information systems (GISs). Such systems allow support of this kind of analysis, which is mainly related to the reconstruction of the chronological sequence, statistical analysis, and their representation. This paper examines the process that leads to the production of information and storage in a GIS, applicable for the management of the stratigraphy of an upstanding structure. This process involves data acquisition, processing, 3D modelling, 2D representation, graphical entities, and their topological relationships, determinations, and representations. We also touch on the relationship between 3D GIS and 2D GIS; even if complex 3D archives are currently achievable, from another point of view it can be also useful for carrying out a 2D workflow aiming at achieving sharable guidelines that are valuable for specialists in Cultural Heritage conservation.
{"title":"Data collection and management for stratigraphic analysis of upstanding structures","authors":"E. Donadio, A. Spanò","doi":"10.5220/0005470200340039","DOIUrl":"https://doi.org/10.5220/0005470200340039","url":null,"abstract":"Stratigraphic analysis, used in principle for study of archaeological excavation, has been adapted and applied to upstanding structures with the same aim to reconstruct a building's history. Stratigraphy, as well as data excavation management, has found a useful and versatile tool in geographic information systems (GISs). Such systems allow support of this kind of analysis, which is mainly related to the reconstruction of the chronological sequence, statistical analysis, and their representation. This paper examines the process that leads to the production of information and storage in a GIS, applicable for the management of the stratigraphy of an upstanding structure. This process involves data acquisition, processing, 3D modelling, 2D representation, graphical entities, and their topological relationships, determinations, and representations. We also touch on the relationship between 3D GIS and 2D GIS; even if complex 3D archives are currently achievable, from another point of view it can be also useful for carrying out a 2D workflow aiming at achieving sharable guidelines that are valuable for specialists in Cultural Heritage conservation.","PeriodicalId":404783,"journal":{"name":"2015 1st International Conference on Geographical Information Systems Theory, Applications and Management (GISTAM)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125956001","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}