Syntactical and Semantical Correctness of Pictorial Queries for GIS

Moving Objects ◽

Spatial Databases ◽

Query Languages ◽

Spatiotemporal Data ◽

Data Types ◽

Time Data ◽

Use Of Data

A data type comprises a set of homogeneous values together with a collection of operations defined on them. This chapter emphasizes the importance of crisp spatial data types, fuzzy spatial data types, and spatiotemporal data types for representing static, vague, and time-varying geometries in Geographical Information Systems (GIS). These data types provide a fundamental abstraction for modeling the geometric structure of crisp spatial, fuzzy spatial, and moving objects in space and time as well as their relationships, properties, and operations. The goal of this chapter is to provide an overview and description of these data types and their operations that have been proposed in research and can be found in GIS, spatial databases, moving objects databases, and other spatial software tools. The use of data types, operations, and predicates will be illustrated by their embedding into query languages.

Visual Query Languages, Representation Techniques, and Data Models

Selected Readings on Database Technologies and Applications ◽

10.4018/978-1-60566-098-1.ch010 ◽

2011 ◽

pp. 206-233

Author(s):

Maria Chiara Caschera ◽

Arianna D’Ulizia ◽

Leonardo Tininini

Keyword(s):

Information Systems ◽

Relational Databases ◽

Query Languages ◽

Visual Query ◽

Representation Technique ◽

Key Issues ◽

Visual Query Languages ◽

Good Trade ◽

Definition Of ◽

Representation Techniques

An easy, efficient, and effective way to retrieve stored data is obviously one of the key issues of any information system. In the last few years, considerable effort has been devoted to the definition of more intuitive, visual-based querying paradigms, attempting to offer a good trade-off between expressiveness and intuitiveness. In this chapter, we analyze the main characteristics of visual languages specifically designed for querying information systems, concentrating on conventional relational databases, but also considering information systems with a less rigid structure such as Web resources storing XML documents. We consider two fundamental aspects of visual query languages: the adopted visual representation technique and the underlying data model, possibly specialized to specific application contexts.

Visual Query Languages, Representation Techniques, and Data Models

Database Technologies ◽

10.4018/978-1-60566-058-5.ch058 ◽

2009 ◽

pp. 1003-1019

Author(s):

Maria Chiara Caschera ◽

Arianna D’Ulizia ◽

Leonardo Tininini

Keyword(s):

Information Systems ◽

Relational Databases ◽

Query Languages ◽

Visual Query ◽

Representation Technique ◽

Key Issues ◽

Visual Query Languages ◽

Good Trade ◽

Definition Of ◽

Representation Techniques

An easy, efficient, and effective way to retrieve stored data is obviously one of the key issues of any information system. In the last few years, considerable effort has been devoted to the definition of more intuitive, visual-based querying paradigms, attempting to offer a good trade-off between expressiveness and intuitiveness. In this chapter, we analyze the main characteristics of visual languages specifically designed for querying information systems, concentrating on conventional relational databases, but also considering information systems with a less rigid structure such as Web resources storing XML documents. We consider two fundamental aspects of visual query languages: the adopted visual representation technique and the underlying data model, possibly specialized to specific application contexts.

Visual query languages, representation techniques and data models

Visual Languages for Interactive Computing ◽

10.4018/978-1-59904-534-4.ch008 ◽

2011 ◽

pp. 142-157

Author(s):

Maria Chiara Caschera ◽

Arianna D’Ulizia

Keyword(s):

Information Systems ◽

Relational Databases ◽

Query Languages ◽

Visual Query ◽

Representation Technique ◽

Key Issues ◽

Visual Query Languages ◽

Good Trade ◽

Definition Of ◽

Representation Techniques

An easy; efficient and effective way to retrieve stored data is obviously one of the key issues of any information system. In the last few years considerable effort has been devoted to the definition of more intuitive; visual-based querying paradigms; attempting to offer a good trade-off between expressiveness and intuitiveness. In this chapter we analyze the main characteristics of visual languages specifically designed for querying information systems; concentrating on conventional relational databases but also considering information systems with a less rigid structure; such as Web resources storing XML documents. We consider two fundamental aspects of visual query languages: the adopted visual representation technique and the underlying data model; possibly specialized to specific application contexts.

Visual Notation Interpretation and Ambiguities

Visual Languages for Interactive Computing ◽

10.4018/978-1-59904-534-4.ch006 ◽

2011 ◽

pp. 117-128 ◽

Cited By ~ 1

Author(s):

Arianna D’Ulizia ◽

Grifoni Patrizia

Keyword(s):

Query Languages ◽

Visual Language ◽

Visual Languages ◽

Visual Query ◽

Visual Query Languages ◽

Definition Of ◽

Comprehensive Classification ◽

Visual Notation

This chapter introduces a classification of ambiguities in Visual Languages and discusses the ambiguities that occur in Spatial Visual Query Languages. It is adopted the definition of Visual Language, given in (Bottoni et al. 1995), as a set of Visual Sentence, each formed by an image, a description, an interpretation function and a materialization function. It is proposed a distinction between ambiguities produced by 1-n relationship between an image and its description, and ambiguities due to imprecision produced by the user’s behaviour during the interaction. Furthermore, the authors hope that this comprehensive classification of ambiguities may assist in the definition of Visual Languages, in order to allow the user to communicate through visual notations by avoiding to formulate sentences that have multiple interpretations.

A Geospatial database of gastric cancer patients and associated potential risk factors including lifestyle and air pollution

BMC Research Notes ◽

10.1186/s13104-021-05506-x ◽

2021 ◽

Vol 14 (1) ◽

Author(s):

Fatemeh Hashemi Amin ◽

Mahtab Ghaemi ◽

Sayyed Mostafa Mostafavi ◽

Ladan Goshayeshi ◽

Khadijeh Rezaei ◽

...

Keyword(s):

Risk Factors ◽

Gastric Cancer ◽

Cancer Patients ◽

Spatial Data ◽

Dietary Habits ◽

Age Groups ◽

Geographical Location ◽

Point Feature

Abstract Objectives Gastric cancer (GC) is a multifactorial disease and the fifth most frequent diagnosed cancer worldwide. It accounts for one third of cancer-related mortalities. Geospatial analysis using geographical information systems (GIS) can provide an efficient solution to identify spatial disparities associated with GC. As such, GIS enables policymakers to control cancer in a better way and identify the regions where interventions are needed. This study aims to publish a comprehensive dataset, which was applied to conduct a spatial analysis of GC patients in the city of Mashhad, Iran. Data description We provide a personal geodatabase, a Microsoft Access database that can store, query, and manage both spatial and non-spatial data, which contains four feature classes. “Male_Stomach_Cancer_Patients” and “Female_Stomach_Cancer_Patients” are point feature classes, which show the age and geographical location of 1156 GC cancer patients diagnosed between 2014 and 2017. “Air_Polution_Mashhad” is another point feature class that reveals the amount of six air pollutants, which was taken from Mashhad Environmental Pollutants Monitoring Center between 2017 and 2018. Finally, “Stomach_Cancer_and_Risk_Factors” is a polygon feature class of neighborhood division of Mashhad, consisting of contributor risk factors including dietary habits, smoking, alcohol use, body mass index and population by age groups for all 165 city neighborhoods.

A Geographical Information System (GIS) study of Triassic vertebrate biochronology

Geological Magazine ◽

10.1017/s001675680500083x ◽

2005 ◽

Vol 142 (4) ◽

pp. 327-354 ◽

Cited By ~ 35

Author(s):

E. J. RAYFIELD ◽

P. M. BARRETT ◽

R. A. McDONNELL ◽

K. J. WILLIS

Keyword(s):

Spatial Data ◽

Western Europe ◽

Temporal Distribution ◽

Late Triassic ◽

Spatial And Temporal Scales ◽

Potential Index ◽

The Stability ◽

Land Vertebrate

Geographical Information Systems (GIS) have been applied extensively to analyse spatial data relating to varied environmental issues, but have not so far been used to address biostratigraphical or macroevolutionary questions over extended spatial and temporal scales. Here, we use GIS techniques to test the stability, validity and utility of proposed Middle and Late Triassic ‘Land Vertebrate Faunachrons’ (LVFs), a global biostratigraphical framework based upon terrestrial/freshwater tetrapod occurrences. A database of tetrapod and megafloral localities was constructed for North America and Western Europe that also incorporated information on relevant palaeoenvironmental variables. This database was subjected to various spatial analysis techniques. Our GIS analysis found support at a global level for Eocyclotosaurus as an Anisian index taxon and probably Aetosaurus as a Norian indicator. Other tetrapod taxa are useful biostratigraphical/biochronological markers on a regional basis, such as Longosuchus and Doswellia for Late Carnian time. Other potential index fossils are hampered, however, by taxonomic instability (Mastodonsaurus, Metoposaurus, Typothorax, Paleorhinus, Pseudopalatus, Redondasaurus, Redondasuchus) and/or are not clearly restricted in temporal distribution (Paleorhinus, Angistorhinus, Stagonolepis, Metoposaurus and Rutiodon). This leads to instability in LVF diagnosis. We found only in the western Northern Hemisphere is there some evidence for an Anisian–Ladinian biochronological unit amalgamating the Perovkan and Berdyankian LVFs, and a possible late Carnian unit integrating the Otischalkian and Adamanian.Megaplants are generally not useful for biostratigraphical correlation in the Middle and Upper Triassic of the study area, but there is some evidence for a Carnian-age floral assemblage that corresponds to the combined Otischalkian and Adamanian LVFs. Environmental biases do not appear to strongly affect the spatial distribution of either the tetrapods or megaplants that have been proposed as index taxa in biostratigraphical schemes, though several examples of apparent environmental bias were detected by the analysis. Consequently, we argue that further revision and refinement of Middle and Late Triassic LVFs is needed before they can be used to support global or multi-regional biostratigraphical correlations. Caution should therefore be exercised when using the current scheme as a platform for macroevolutionary or palaeoecological hypotheses. Finally, this study demonstrates the potential of GIS as a powerful tool for tackling palaeontological questions over extended timescales.

Optimal Site Selection for Sittinga Solar Park using Multi-Criteria Decision Analysis and Geographical Information Systems (GIS)

10.5194/gi-2016-4 ◽

2016 ◽

Cited By ~ 3

Author(s):

Andreas Georgiou ◽

Dimitrios Skarlatos

Keyword(s):

Spatial Data ◽

Power Plants ◽

Solar Power ◽

Optimal Placement ◽

Equal Weight ◽

Analysis Tool ◽

Study Region ◽

Weighting Schemes

Abstract. Among the renewable powers sources, solar is rapidly becoming popular being inexhaustible, clean, and dependable. It is also becoming more efficient since the photovoltaic solar cells' power conversion efficiency is rising. Following these trends, solar power will become more affordable in years to come and considerable investments are to be expected. Despite the size of solar plants, the sitting procedure is a crucial factor for their efficiency and financial viability. Many aspects rule such decision; legal, environmental, technical, and financial to name some. This paper describes a general integrated framework to evaluate land suitability for the optimal placement of photovoltaic solar power plants, which is based on a combination of a Geographic Information System (GIS), remote sensing techniques and multi-criteria decision making methods. An application of the proposed framework for Limassol District in Cyprus is further illustrated. The combination of GIS and multi-criteria methods, consist an excellent analysis tool that creates an extensive database of spatial and non spatial data that will be used to simplify problems, to solve and promote the use of multiple criteria. A set of environmental, economic, social and technical constrains based on recent Cypriot legislation, European's Union policies and experts' advices, identifies the potential sites for solar park installation. The pair-wise comparison method in the context of the analytic hierarchy process (AHP) is applied to estimate the criteria weights in order to establish their relative importance in site evaluation. In addition, four different methods to combine information layers and check their sensitivity were used. The first considered all the criteria as being equally important and assign them equal weight, while the others grouped the criteria and graded them according to their objective perceived importance. The overall suitability of the study region for sitting solar park is appraised through the summation rule. Strict application of the framework depicts 3.0 % of the study region scoring best suitability index for solar resource exploitation, hence minimizing risk of a potential investment. However, using different weighting schemes for criteria, suitable areas may reach up to 83 % of the study region. The suggested methodological framework applied can be easily utilized by potential investors and renewable energy developers, through a front end web based application with proper GUI for personalized weighting schemes.