scholarly journals Áreas de Potencial Arqueológico na Região do Médio Tejo: Modelo Espacial Preditivo

2020 ◽  
pp. 203-222
Author(s):  
Rita Ferreira Anastácio ◽  
Ana Filipa Martins ◽  
Luiz Oosterbeek
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Spatial Model ◽  
Spatial Models ◽  
Geographic Information ◽  
Archaeological Sites ◽  
Research Project ◽  
Model Based ◽  
Geographic Data ◽  
Binary Addition

This article presents the results of the construction of an Archaeological Predictive Spatial Model based on the analysis of a set of variables. The main objective of this study is to identify areas of archaeological potential for archaeological exploration, for the Médio Tejo Region. This areas are more likely to occur in new sites, through the application of predictive spatial models, starting from a base of geographic data from archaeological sites compiled and updated in their various chronologies, and modeled through Geographic Information Systems, within the framework of the MTAS research project, supported by FCT. Thus, through an essentially statistical, descriptive and univariate methodology and using two methods - the method of binary addition and the method of weights - the areas with potential for prospecting new archaeological sites were obtained for the Médio Tejo Region.

scholarly journals Blind Digital Watermarking Algorithm against Projection Transformation for Vector Geographic Data

2020 ◽  
Vol 9 (11) ◽  
pp. 692
Author(s):  
Qifei Zhou ◽  
Na Ren ◽  
Changqing Zhu ◽  
A-Xing Zhu
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Digital Watermarking ◽  
Geographic Information ◽  
Experimental Results ◽  
Superior Performance ◽  
Blind Detection ◽  
Geographic Analysis ◽  
Geographic Data ◽  
Projection Transformation

Projection transformation is an important part of geographic analysis in geographic information systems, which are particularly common for vector geographic data. However, achieving resistance to projection transformation attacks on watermarking for vector geographic data is still a challenging task. We proposed a digital watermarking against projection transformation based on feature invariants for vector geographic data in this paper. Firstly, the features of projection transformation are analyzed, and the number of vertices, the storage order, and the storage direction of two adjacent objects are designed and used as the feature invariant to projection transformation. Then, the watermark index is calculated by the number of vertices of two adjacent objects, and the embedding rule is determined by the storage direction of two adjacent objects. Finally, the proposed scheme performs blind detection through the storage direction of adjacent features. Experimental results demonstrate that the method can effectively resist arbitrary projection transformation, which indicates the superior performance of the proposed method in comparison to the previous methods.

Catchment-wide estimate of single storm interrill soil erosion using an aggregate instability index: a model based on geographic information systems

2012 ◽  
Vol 62 (3) ◽  
pp. 863-875 ◽  
Author(s):  
Christina Tsimi ◽  
Athanassios Ganas ◽  
Dimitrios Dimoyiannis ◽  
Spyros Valmis ◽  
Efthimios Lekkas
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Soil Erosion ◽  
Geographic Information ◽  
Instability Index ◽  
Model Based

scholarly journals THE EXPERIENCE OF THE USE OF GEOGRAPHICAL INFORMATION SYSTEMS IN ARCHAEOLOGICAL RESEARCHES OF THE BROWARKA RIVER BASIN OF PEREIASLSAV REGION

2018 ◽  
Vol 26 (1) ◽  
pp. 190-200
Author(s):  
S. V. Vovkodav
Keyword(s):  
Remote Sensing ◽  
Information Systems ◽  
Geographic Information Systems ◽  
River Basin ◽  
Remote Sensing Data ◽  
Geographic Information ◽  
Archaeological Sites ◽  
Research Focus ◽  
Settlement Systems ◽  
Sensing Data

The article describes experience of using geographic information systems in archaeological research of the Brovarka river basin. This river is а part of surface waters of Pereiaslav region and it is located in the south-eastern part of the region. The study of sites in the region began in the middle of the XIX century. From this time until the end of the 1960s the research focus was concentrated only on the certain objects of the micro-region. During the next period (up to the early 1990s) the several field studies was conducted on the territory, that allows to accumulate many archaeological materials. Despite the aforementioned, yet the purposeful study of the territory was not carried out. In the early 2000s a generalization of information about archaeological sites in the micro-region and their further field survey was started. So, we have begun a comprehensive study of archaeological sites, lined up within the Brovarka river basin. The need to operate a large amount of diverse information and to attract a wide range of sources has forced us to use new approaches in the study of the past of the region: the use of geographic information systems, remote sensing data and GPS positioning. The main research focus was concentrated on the study of the ancient settlement systems. The study was carried out in the context of the implementation of following three areas: а records of archaeological sites, an analysis of the spatial characteristics of ancient settlement systems and use of remote sensing data for different research needs. The particular features and results of their implementation are proposed in this publication.

Participatory Geographic Information Systems Within a Crowdsourcing Environment, With Special Reference to Volunteered Geographic Information

2018 ◽  
pp. 392-419
Author(s):  
Mulalu I. Mulalu
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Geographic Information ◽  
Web Gis ◽  
Problem Analysis ◽  
Web 3.0 ◽  
Web Mapping ◽  
Digital Mapping ◽  
Geographic Data ◽  
Exploratory Data

Geographic Information Systems (GIS) are essentially concerned with fixing locations of features and attaching data to them. This geographic data is subsequently used in spatial analysis as a means to support problem analysis and solution modeling through exploratory data analysis and experimentation with various alternative solutions. Ultimately GIS is used for informed decision making. With the advent of technologies that support participation, digital mapping, Global Positioning System (GPS), the internet, Web Mapping, Web GIS, Web 2.0 and Web 3.0 technologies and smart phones, many people all over the world have become capacitated to collect and communicate geo-tagged multimedia information, a phenomenon that is known as crowdsourcing. One example of crowdsourcing is incorporating geotagged information collected by volunteers into a GIS. Consequently, crowdsourcing facilitates PGIS to become a powerful practice that can be leveraged to collect geographic data over extensive landscapes and often in near real time.

COOPERATIVE MODELING IN APPLIED GEOGRAPHIC RESEARCH

1994 ◽  
Vol 03 (01) ◽  
pp. 83-102 ◽  
Author(s):  
GUSTAVO ALONSO ◽  
AMR EL ABBADI
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Geographic Information ◽  
Cooperative Work ◽  
Multiple Sources ◽  
Gis Technology ◽  
Ground Observation ◽  
Geographic Data ◽  
Weather Stations

The characteristics of geographic data and the nature of geographic research require the participation of many agents. Data is generated by multiple sources (satellites, ground observation, weather stations, photography, etc.), accessed, processed and transformed by many users and available for use to an even larger population of users. Lack of coordination among all these different agents may render large amounts of work useless. Most existing GIS (Geographic Information Systems) do not provide any support for cooperative work, which adds to the problem. To overcome this serious limitation while still allowing users to take advantage of GIS technology, we propose GOOSE, a system implemented as a top layer for existing GIS. GOOSE provides the tools for constructing large geographic models in a cooperative environment with potentially many users and participants.

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