Spatial Databases Research Papers - Academia.edu (original) (raw)

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- Pediatrics, Spatial Databases, Artificial Neural Networks, Query processing

This paper deals with memory management issues of robotics. In our proposal we break one of the major
issues in creating humanoid. . Database issue is the complicated thing in robotics schema design here in
our proposal we suggest new concept called NOSQL database for the effective data retrieval, so that the
humanoid robots will get the massive thinking ability in searching each items using chained instructions.
For query transactions in robotics we need an effective consistency transactions so by using latest
technology called CloudTPS which guarantees full ACID properties so that the robot can make their
queries using multi-item transactions through this we obtain data consistency in data retrievals. In addition
we included map reduce concepts it can splits the job to the respective workers so that it can process the
data in a parallel way.

- by Vijaykumar S and +1
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- Robotics, Robotics (Computer Science), Database Systems, Autonomous Robotics

Big Data Visualization Tools : A Survey of the State of the Art and Challenges Ahead

- by Nikos Bikakis
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- Information Systems, Algorithms, Scientific Visualization, Information Science

Las bases de datos espaciales (spatial database) se utilizan para almacenar datos espaciales, o en otras palabras, los datos relacionados con los espacios en el mundo físico.
En este tipo de bases de datos es imprescindible establecer un cuadro de referencia (un SRE, Sistema de Referencia Espacial) para definir la localización y relación entre objetos, ya que los datos tratados en este tipo de bases de datos tienen un valor relativo. Los sistemas de referencia espacial pueden ser de dos tipos: georreferenciados y no georreferenciados.
La construcción de una base de datos geográfica implica un proceso de abstracción para pasar de la complejidad del mundo real a una representación simplificada. La estructuración de la información espacial procedente del mundo real en capas conlleva cierto nivel de dificultad, de tal forma que toda la complejidad de la realidad ha de ser reducida a puntos, líneas o polígonos.

- by Cristian Lameiro
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- Spatial Databases, Databases, postgreSQL, Postgis

The amount of data stored in IoT databases increases as the IoT applications extend throughout smart city appliances, industry and agriculture. Contemporary database systems must process huge amounts of sensory and actuator data in real-time or interactively. Facing this first wave of IoT revolution, database vendors struggle day-by-day in order to gain more market share, develop new capabilities and attempt to overcome the disadvantages of previous releases, while providing features for the IoT. There are two popular database types: The Relational Database Management Systems and NoSQL databases, with NoSQL gaining ground on IoT data storage. In the context of this paper these two types are examined. Focusing on open source databases, the authors experiment on IoT data sets and pose an answer to the question which one performs better than the other. It is a comparative study on the performance of the commonly market used open source databases, presenting results for the NoSQL MongoDB database and SQL databases of MySQL and PostgreSQL

- by Sophia Topouzi and +1
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- Spatial Databases, Archaeological GIS, Cultural Heritage Management
- by Manaa Alhabsi
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- SDI (Spatial Data Infrastructure), Location Based Services, Spatial Databases, LBS

Nowadays revitalization is often defined as a comprehensive effort including revalorization, restoration, reconstruction, modernization and actions aimed at the revival of a building, a district or a town devastated in different aspects, also the economic and social ones. The social aspect is among the most significant ones. In other words, there is no complete revitalization without solving social problems. The presented study discusses problems related to the broadly approached revitalization projects and their main directions of development, based on the example of Polish revitalization programmes of territorial self-governmental units. The first part of the paper presents the definitional aspects of revitalization taking into account social, economic, environmental, spatial, functional, cultural and technical dimensions. Moreover, the definition, structure and purpose of a revitalization programme was characterized. Next the primary objectives and current developmental directions of revitalization in Poland were discussed based on the selected applicable revitalization programmes. Today the main directions of revitalization processes in Poland cover: the reduction of poverty and social exclusion, supporting local business, cleaner environment activities, sustainable spatial and functional development, supporting technical infrastructures, promoting culture-based socioeconomic development.

- by Andrzej Raszkowski
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- Management, Marketing, Economic History, Urban Geography

The paper uses a simple example to illustrate identification of an Entity Relationship Diagram components to model a GIS database.

Cite this article: Raszkowski, A., Bartniczak, B. Towards Sustainable Regional Development: Economy, Society, Environment, Good Governance Based on the Example of Polish Regions. Transformations in Business & Economics, 2018, Vol. 17, No 2 (44), pp.225-245.The presented study discusses problems referring to the concept of sustainable development at regional level, based on the example of Polish regions in the period 2005-2011. The first part presents theoretical aspects of sustainable regional development, raises the problems of primary phenomena hindering such development, sustainable development definitions, the role of creativity, the importance of NGOs, good governance of regional space. The next part of the article provides the characteristics of sustainable development indicators selected for the analysis in accordance with the approach adopted by the Central Statistical Office in Poland towards measuring the level of sustainable regional development. The synthetic measure of development (SMD) represents the applied research method, which offered the basis for constructing the ranking and identifying the position of particular Polish regions. The research results remain the core of the study since they illustrate the indicator values in the years under analysis. Within the framework of the final remarks and conclusions it was emphasized that in none of the studied regions, in terms of implementing sustainable development standards, the situation can be assessed as favourable or very favourable and the reasons for such state of the matter were provided. In spite of the relatively unfavourable results, a gradual improvement of the situation was observed over the years. It was pointed out that one of the fundamental barriers to the implementation of sustainable development standards is the absence of awareness and understanding of the discussed development concept.

- by Andrzej Raszkowski
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- Business, Management, Marketing, Business Administration

NoSQL database management solutions are a departure from standard relational database management systems (RDBMS). Non-tabular NoSQL databases store data in a distinct way when compared to relational database tables. The data model of NoSQL databases is used to classify them. The most popular types are document, keyvalue, wide-column, and graph. They feature customizable schemas and can easily handle large amounts of data as well as significant user loads. They have adaptable schemas and can handle big amounts of data and high user loads with ease. Furthermore, their data models' flexibility and ease of use, in comparison to the relational model, can faster the development, especially in the field of cloud computing. This paper discusses the benefits of NoSQL databases, such as the ability to handle large volumes of data at high speeds with a scale-out architecture, the ability to store unstructured, semi-structured, or structured data, and the ability to easily update schemas and fields, making them developer friendly. Furthermore, this paper discusses the downsides, such as the lack of reliability features found in Relational Databases.

The purpose of this study is to impute missing monthly maximum temperature data from the department of Valle del Cauca, located in Colombia, over a period of two years (2013 y 2014). For this, a geostatistical technique will be used, which uses spatial data, which in this case are temperature records of meteorological stations located in different areas of the department and at different heights. This technique is a linear model based on the relationship between temperature and height, taking into account that spatially the stations are correlated. A model was constructed per month, and the best spatial correlation structure was added to the residuals of each model. The prediction level of the linear models with spatial correlation was compared with that of other interpolation methods (linear models without correlation and the inverse distance weighted IDW), using mean squared error (MSE) estimated by cross-validation. Linear models with spatial correlation showed the best results when there was a strong spatial correlation structure.

- by Andrés Salgado
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- Spatial Analysis, Colombia, Geostatistics, Spatial Databases

Data exploration and visualization systems are of great importance in the Big Data era. Exploring and visualizing very large datasets has become a major research challenge, of which scalability is a vital requirement. In this survey, we describe the major prerequisites and challenges that should be addressed by the modern exploration and visualization systems. Considering these challenges, we present how state-of-the-art approaches from the Database and Information Visualization communities attempt to handle them. Finally , we survey the systems developed by Semantic Web community in the context of the Web of Linked Data, and discuss to which extent these satisfy the contemporary requirements.

- by Nikos Bikakis
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- Information Systems, Algorithms, Scientific Visualization, Information Science

Di era yang semakin berkembang, banyak bidang ilmu seperti ekonomi, sosial, lingkungan, kesehatan, meteorologi, klimatologi, geologi dan sebagainya yang menggunakan data yang berkaitan dengan lokasi atau letak gepgrafis suatu tempat. Data yang memuat informasi mengenai lokasi atau letak geografis suatu daerah dan diperoleh dari hasil pengukuran sering disebut data spasial. Buku ini membahas lengkap mengenai metode statistika spasial dan penerapan dalam permasalahan. Bab pertama membahas definisi statistika spasial, Bab dua sampai dengan empat membahas Geographically Weighted Regression (GWR), Geograpichally Weighted Logistic Regression (GWLR), Geograpichally Weighted Logistic Regression Semiparametric (GWLRS), Geographically Weighted Poisson Regression (GWPR) dan bab lima membahas tentang applikasi OpenGeoDa ArcView GIS. Pada buku ini diberikan sejumlah panduan dalam menganalisis dan intepretasi dari metode tersebut khususnya pengoperasian dengan menggunakan software R, ArcView dan OpenGeoDa. R merupakan Bahasa pemrograman untuk komputasi statistik dan grafis.

- by Bart Holterman and +2
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- Economic History, Historical GIS, Urban History, Transport Geography

Organizations adopt different databases for big data which is huge in volume and have different data models. Querying big data is challenging yet crucial for any business. The data warehouses traditionally built with On-line Transaction Processing (OLTP) centric technologies must be modernized to scale to the ever-growing demand of data. With rapid change in requirements it is important to have near real time response from the big data gathered so that business decisions needed to address new challenges can be made in a timely manner. The main focus of our research is to improve the performance of query execution for big data.

Our work focuses on the assessment of trends, erosion states and causal risk factors for soil erosion of the Asfalou watershed through the use of the Priority Actions Program/Regional Activity Center (PAP/RAC). This qualitative study model for water erosion makes it possible to assess susceptibility and determine potential fragile areas in order to diagnose the state of soil degradation. We adopted the PAP/RAC crossed matrices, the geographic information system (GIS) and remote sensing (RS) to develop the classical modelling. This method is based on three main approaches: predictive, descriptive and integration. Introducing soil types, slope length (LS) and climatic factors into our model, including rainfall erosivity (R), slope exposure, soil moisture index (SMI) and land surface temperature (LST), improved the reliability of our model. The correlation analysis identified these factors that explain erosion states and the risk of soil erosion. The coefficients of determination (R2) of the various erosive states resulting from the modified PAP/RAC approach explain respectively 98.30%, 77% and 49.3% of the observed variability of the erosive states. These factors provide information on the current state of soil degradation depending on the degree of influence of the different factors that control erosion. The descriptive approach has shown that soil loss manifests itself in different forms, whether for sheet erosion (L) and ravines (C1) successively affecting 79.95% and 17.84% of the land. The integration approach identifies factors and areas requiring intervention to counter the effects of soil erosion in the Asfalou watershed effectively and sustainably.

- by Jad Tahouri and +1
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- Climate Change, Natural Hazards, Spatial Databases, Mathematical Modelling

Due to the need for further expansion of a gas pipeline network and more efficient maintenance of available spatial data on the gas pipeline infrastructure, the management of gas transportation system operator has decided to extend the existing information system for the management of gas infrastructure by introducing location intelligence, i.e. its upgrading with the functional WebGIS solution. This paper describes the approach for developing the solution by using open source software components. The implemented WebGIS solution enables environmental monitoring in relation to safe natural gas transport, helps in planning and maintaining the gas pipeline network, and provides location-conscious decisionmaking on various aspects of the gas infrastructure management.

- by Almir Karabegović
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- Spatial Databases, WebGIS, Oil & Gas Transportation, Location Intelligence

The paper aims to reveal one integrated global map which points out the major geographical inequalities in providing basic utilities across the countries using multivariate analysis and thematic cartography. Sixteen indicators with global coverage were selected taking into account the waste collection services, sanitation facilities, drinking water sources, energy, electricity, habitat and demographic conditions. Several data are broken down for the total, urban and rural population in order to outline the rural-urban disparities between and within countries. A special focus is given to waste collection coverage, in order to compute a comprehensive global assessment of this key indicator of public health, which is one of the poorest monitored basic utility. The world countries were divided into 10 classes according to the hierarchical cluster analysis. Each class has particular features outlining the gaps between high, middle and low-income countries with direct impact on quality of life, public health, and environment.

- by Florin Constantin MIHAI
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- Marketing, Environmental Engineering, Sociology, Economic Sociology

This article presents the steps taken to ensure the consistency and usability of the geographic information system of soil resources of Romania SIGSTAR-200 within INSPIRE, the Infrastructure for Spatial Information of the European Community. At present, SIGSTAR-200 contains tens of thousands of polygons characterized by three attributes collected from legacy paper maps, namely (i) soil mapping unit (SMU), including soil association, (ii) topsoil texture class and (iii) skeleton class, all defined as stated by the national methodologies. In addition, each soil is characterized concerning the risk of land degradation (by water erosion, wind erosion, salinization, alkalization, gleyzation and waterlogging) through attributes inferred by expert system rules built on pedogenesis. To achieve the compatibility and usability within INSPIRE, SIGSTAR-200 has been transformed in accordance with the common Implementing Rules in force. To this end, first, the SMUs have been correlated at the dominant soil type level with the international soil classification system World Reference Base of Soil Resources (WRB) to ensure the semantic interoperability. Second, the SMUs, modeled as INSPIRE feature type SoilBody, have been populated with new attributes. This step was performed for SIGSTAR-200 dataset in three coordinate reference systems (CRSs): EPSG:3844 (CRS of Romania), EPSG:3035 and EPSG: 4258 (the last two CRSs being required or recommended by INSPIRE). Finally, the data transformed in INSPIRE-compliant GML have been checked by the INSPIRE Validator (Executable Test Framework), passing all the tests currently available for soil datasets, i.e., regarding (i) data consistency, (ii) INSPIRE GML application schemas, (iii) information accessibility, and (iv) reference systems. The next steps of the work, synchronized with the availability of the Executable Test Suites for the themes defined in Annex III of the Directive, aim to fully validate SIGSTAR-200 GML and to conclude its first integration into INSPIRE (Accession Number: WOS: 000526176700012).

Blocks of flats are the most abundant built element in many cities and their quality is an important issue. Undergraduate students often occupy these accommodations and this group describes a wide range of housing situations that makes it possible to assess their quality. This research aims to describe the data collection strategy in an ongoing research project in the city of A Coruña (Spain), oriented towards assessing the ordinary blocks of flats where the students live (shared flats, apartments). The method uses several sources (a questionnaire, cartographic viewers, the cadastre, and municipal historical archives) and a sophisticated strategy to be non-intrusive, efficient, and user-friendly. This information would allow an understanding of both students’ changes of residence and their locations within the city. Formal methods are applied to estimate ordinary interior designs based on external configurations and consequently verify them with users and public archives. This holistic strategy creates a georeferenced database by adopting efficient procedures, thus reducing user inquiries. The case of A Coruña confirms the variability of housing conditions and the complex phenomena involved, including possible correlations between housing quality and economic/social parameters, which can be studied with the developed database.

- by Placido Lizancos-Mora and +1
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- Spatial Databases, Student Housing, Building occupants' quality of life, Non-intrusive techniques

Spatial data have proven to be extremely useful in many areas. Accordingly, there are more and more Web GIS solutions. These solutions allow the visualization of spatial data to all Internet users. A large number of available online resource introduced the problem of efficient retrieval of relevant information. The aim of this paper is to describe the way in which Web portals can be used to search and presentation of spatial data. The paper first analyzes the area of the Web portal. It provides an overview of the Web GIS technology, with particular emphasis in its advantages and disadvantages and how the client/server architecture can be applied to Web GIS solutions. Then, it describes how the service oriented architecture can be used to resolve interoperability problems, and gives an overview of OGC standards: WMS, WFS, and WCS. In the end, it explains the need for introducing a geoportal, as a special type of a Web portal. In the practical part of this paper is implemented interactive map of Bosnia and Herzegovina. An overview of the technologies was given: PostGIS, Boundless SDK, GeoServer and OpenLayers, which are an integral part of the OpenGeo Suite. The paper also describes how to integrate local data sources with public web services: MapQuest, Bing Maps and OpenStreetMap.

- by Almir Karabegović
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- Computer Science, Spatial Modeling, Spatial Databases, Data Visualization
- by Ayşe Öncü
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- Spatial Databases, Ottoman Heritage

Spatial databases maintain space information which is appropriate for applications where there is need
to monitor the position of an object or event over space. Spatial databases describe the fundamental
representation of the object of a dataset that comes from spatial or geographic entities. A spatial database
supports aspects of space and offers spatial data types in its data model and query language.
The spatial or geographic referencing attributes of the objects in a spatial database permits them to be
positioned within a two (2) dimensional or three (3) dimensional space. This chapter looks into the fundamentals
of spatial databases and describes their basic component, operations and architecture. The
study focuses on the data models, query Language, query processing, indexes and query optimization
of a spatial databases that approves spatial databases as a necessary tool for data storage and retrieval
for multidimensional data of high dimensional spaces.

- by Grace L Samson
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- Spatial Analysis, Data Mining, Database Systems, Spatial Databases

The collection of 3D point data is a common bottleneck for archaeological excavations despite an increasing range of powerful spatial data collection technologies. Total stations often require a dedicated operator, and they are optimal for excavation-level data collection over relatively short line-of-site distances. Precision Global Navigation Satellite Systems (GNSS) require reliable communication with constellations of distant satellites and may not be accurate enough for all data recording contexts. A new category of spatial data collection hardware, called Indoor Positioning Systems (IPS), or “indoor GPS,” has the potential to provide a more cost-effective and efficient approach to the collection of point data during excavations by making 3D point data collection widely available and accessible. Additionally, such systems may allow greater detail in digital field data recording by enabling the collection of shape data via continuous recording. In this article, we present one such IPS system—the Marvelmind IPS—discuss its potential value and limitations, and provide a case study of a field test of the system at the Chalcolithic (4600–3600 BC) site of Horvat Duvshan, Israel.

- by Austin C Hill and +1
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- Spatial Databases, Chalcolithic Archaeology, Geo-spatial analysis with GIS and GPS, Archaeological Fieldwork

Berdasarkan Undang-undang Republik Indonesia Nomor 4 Tahun 2011 tentang Informasi Geospasial, telah diberlakukan Peraturan Kepala Badan Informasi Geospasial (BIG) Nomor 12 tahun 2013 tentang Standar Prosedur Penyimpanan dan Mekanisme Penyimpanan untuk Pengarsipan Data Geospasial dan Informasi Geospasial dimana Data Geospasial (DG) dan Informasi Geospasial (IG) perlu disimpan dalam tempat yang aman dan tidak rusak atau hilang untuk menjamin ketersediaan Informasi Geospasial.
Pusdata Kementerian Pekerjaan Umum sebagai unit kliring data spasial memiliki peran yang startegis untuk mengelola data spasial yang ada di lingkungan Kementerian Pekerjaan Umum. Kondisi ketersedian data spasial di Pusdata saat ini berkembang cukup pesat dengan berbagai jenis dan sumber data spasial. Oleh karenanya diperlukan pengembangan aplikasi pengelolaan data spasial berbasis raster untuk mengelola pengarsipan data spasial yang sudah ada kedalam aplikasi katalog data spasial berbasis WebGIS yang dapat diakses secara langsung di lingkungan internal maupun eksternal.
Pengembangan aplikasi ini menggunakan perangkat open license, seperti PostGIS dan ArcGIS API berbasis Java Script dengan pendekatan arsitektur berbasis client server. Metode system development life cycle digunakan untuk menggambarkan proses perencanaan, implementasi, uji coba, dan diseminasi dari sistem pengelolaan data spasial di Kementerian Pekerjaan Umum.

- by Bramantiyo Marjuki and +1
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- Spatial Databases, Web GIS, Geographic Information Systems (GIS)
- by Karla borges
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- Spatial Databases, Spatial Database, Soft

- by Almir Karabegović
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- Business, Spatial Databases, WebGIS, Management Issues

We focused on applying parallel computing technique to the bulk loading of X-tree in other to improve the performance of DBSCAN clustering algorithm. We have given a full description of how the system can be archived. We proposed a new parallel algorithm for DBSCAN and another algorithm to extend the X-tree spatial indexing structure. Spatial database systems incorporate space in database systems, they support non-traditional data types and more complex queries, therefore in order to optimise such systems for efficient information processing and retrieval, appropriate techniques must be adopted to facilitate the construction of suitable index structures.

- by Simone Matheus
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- Information Systems, Machine Learning, Database Systems, Spatial Databases

Improving the use of vector data in web mapping is often shown as an important challenge. Such shift from raster to vector web maps would open web mapping and GIS to new innovations and new practices. The main obstacle is a performance issue: Vector web maps in nowadays web mapping environments are usually too slow and not usable. Existing techniques for vector web mapping cannot solve alone the performance issue. This article describes a unifi ed framework where some of these techniques are integrated in order to build efficient vector web mapping clients and servers. This framework is composed of the following elements: Specifi c formats for vector data and symbology, vector tiling, spatial index services, and generalization for multiscale data. A prototype based on this framework has been implemented and has shown satisfying results. Some principles for future standards to support the development of vector web mapping are given.

- by Julien Gaffuri
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- Cartography, Remote Sensing, SDI (Spatial Data Infrastructure), Spatial cognition

How to study the specificity of television series building evolving, shapeshifting, open, fragmented narratives? Questioning the use of the notion of complexity within and beyond narratology, this article proposes to read television series through an interdisciplinary perspective focused on spatialization. Indeed, beyond textual analysis and in the absence of primary sources on the production side (sources that more often than not prove inaccessible), the television series scholar is bound to explore the intermediate space between representation and reception – a complex space frequently navigated by users, as shown by the circular model of participatory culture (Jenkins, 2013).

- by Mireille Berton and +1
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- Digital Humanities, Spatial Analysis, Television Studies, Computational Complexity

User’s locations and there interested are different. Collecting large amount of data to the user is very difficult. Sometime
information is very sensitive; handling the information is very difficult task. Information storage also very big issue.so data
owner does not make data accessible in all customers. It’s allowed only paying customers. User send their current location points
and want to know about nearest POIs in NN but data Owner does not have that much storage capacity so we are using cloud
service. Cloud provides power full storage at low cost but Cloud is not fully trusted. So we are using processing of NN queries in
an untrusted outsourced environment, whereas at an equivalent time protective the POI and querying users’ location positions.
Our techniques based on mutable order preserving encoding (mOPE). It is a secure order-preserving encryption. We provide
performance of the optimizations process is increase and decrease the computational cost

The aim of this paper is to investigate newly developed spatial monitoring and analysis systems—the emergent area of location intelligence (LI) in relation to geographic information systems (GIS)—from the perspective of the design research strategic modification. It has been argued that this perspective implies corrective attributes and criteria that can advance the existing spatial research models and platforms by proposing a designerly enhanced intelligence research framework and technical solution while also integrating the external transformative issues that have posed a demand for spatial research systems rethinking and redefinition, too. These issues have been centered around the several notions—(1) the extension of the spatial research scale and domain marked by the move from geo-determinants to cosmo-determinants alongside locational or place-based specification, (2) the articulation of dynamic properties and complexity, and (3) the new forms and techniques of reasoning and representation in spatial sciences advanced by digital information technologies, the space-information integration, the use of large data-systems and their control. They have been thoroughly explained alongside different effects they produce, while terminological and technical refinements have been proposed in their regard, as well. The important scientific and theoretical research areas have been addressed for solid framing of such thematic and disciplinary convergence. Their synthesis has indicated the major objective of the paper—the construction of the new common ground for all spatial sciences in the form of the digital research and representation system, strategy and methodology based on design intelligence attributes and modes of operation.

- by Dragana Ciric
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- Dynamical Systems, Design Science, Spatial Analysis, Complexity

Sandstone, Heritage Documentation Software es el nombre de un software aplicado a la documentación del patrimonio desarrollado en diferentes fases y en el que han colaborado el World Monuments Fund (WMF), la Fundación Catedral Santa María (FCSM), la Fundación Catedral de Santiago (FCS), la Fundación Barrie y el Instituto del Patrimonio Cultural de España (IPCE).
Las entidades que forman el equipo de trabajo tienen una amplia experiencia en la conservación del patrimonio y se han asociado para desarrollar Sandstone y generar una aplicación distribuible que permitiese gestionar eficazmente la información asociada a los procesos de restauración de monumentos.
La aplicación práctica del trabajo se está realizando en el Pórtico de la Gloria de la catedral de Santiago de Compostela y recoge todos los aspectos que desarrolla Sandstone, codificación de elementos, generación de formularios, edición geométrica, identificación de atributos (patologías, marcas de cantero, analíticas...), gestión de la documentación, generación de planos temáticos y salvaguarda de todos los datos.

Data exploration and visualization systems are of great importance in the Big Data era, in which the volume and
heterogeneity of available information make it difficult for humans to manually explore and analyse data. Most traditional systems
operate in an offline way, limited to accessing preprocessed (static) sets of data. They also restrict themselves to dealing
with small dataset sizes, which can be easily handled with conventional techniques. However, the Big Data era has realized the
availability of a great amount and variety of big datasets that are dynamic in nature; most of them offer API or query endpoints
for online access, or the data is received in a stream fashion. Therefore, modern systems must address the challenge of on-the-fly
scalable visualizations over large dynamic sets of data, offering efficient exploration techniques, as well as mechanisms for
information abstraction and summarization. Further, they must take into account different user-defined exploration scenarios
and user preferences. In this work, we present a generic model for personalized multilevel exploration and analysis over large
dynamic sets of numeric and temporal data. Our model is built on top of a lightweight tree-based structure which can be efficiently
constructed on-the-fly for a given set of data. This tree structure aggregates input objects into a hierarchical multiscale
model. We define two versions of this structure, that adopt different data organization approaches, well-suited to exploration and
analysis context. In the proposed structure, statistical computations can be efficiently performed on-the-fly. Considering different
exploration scenarios over large datasets, the proposed model enables efficient multilevel exploration, offering incremental construction
and prefetching via user interaction, and dynamic adaptation of the hierarchies based on user preferences. A thorough
theoretical analysis is presented, illustrating the efficiency of the proposed model. The proposed model is realized in a web-based
prototype tool, called SynopsViz that offers multilevel visual exploration and analysis over Linked Data datasets. Finally, we
provide a performance evaluation and a empirical user study employing real datasets.

Animal migration is one of the areas biologists actively investigate in order to gain a better understanding of animal behavior. In general, the representation, visualization and querying of the observed animal migration data poses many challenges. This paper describes a novel approach to solving these challenges using the MLPQ constraint database system. Our modeling of the animal migration problem and specific software implementation using the MLPQ constraint database system provides an easy to understand and use scientific tool for biologists as is demonstrated on a test case of migration data for Atlantic Ocean sea turtles. The migration data include the position, latitude and longitude of the sea turtles as reported to satellites at certain time intervals. The migration observational data are interpolated and converted into a continuous movement data that are represented within a constraint database that can also animate and query the movement of the sea turtles.

- by Peter Revesz
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- Data Mining, Database Systems, Spatial Databases, Spatio-Temporal Databases

A Agricultura de Precisão (AP) tem em sua concepção a emergência de novas combinações agrotecnológicas baseadas no desenvolvimento e aplicação das tecnologias da informação e comunicação na agricultura. As Tecnologias da Informação e Comunicação (TIC’s) são definidas pela Agência dos Estados Unidos para Cooperação Internacional-USAID como sendo: a combinação de hardware, software e os instrumentos de produção que permitem troca, processamento e manejo da informação e do conhecimento. Então, de acordo com a USAID, as TIC’s incluem tecnologias e métodos para armazenar, manejar e processar informação (e.g. computadores, softwares, livros, dispositivos móveis, livrarias digitais e não digitais) e para comunicar a informação (e.g. correio, correio eletrônico, rádio, televisão, telefones, celulares, pagers, internet, etc). Devido à combinação de agrotecnologias com as tecnologias da informação e da comunicação, a Agricultura de Precisão é vista atualmente como uma das formas mais eficientes e eficazes de se garantir a produção de alimentos para atender as necessidades alimentares de nove bilhões de habitantes da terra em 2050, com a garantia da qualidade do produto e dos recursos naturais bióticos e abióticos. Este capítulo analisa o estado da arte e as tendências futuras das Tecnologias da Informação e Comunicação no contexto da Agricultura de Precisão. Serão abordados os seguintes temas: Padrões para Integração de Equipamentos Agrícolas, Sistemas de Informação e na Automação de Processos e Operações Agrícolas; Computação Ubíqua e em Nuvem; Aplicações Geoespaciais; Sistemas de Suporte a Decisão; Processos Produtivos Agrícolas - Protocolos e Normas de Produção

- by Leonardo Queiros and +5
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- Precision Agriculture, Spatial Databases

Integrated and sustainable urban solid waste management is one of the most important environmental problems in Europe and worldwide. According to modern legislations and newly promoted practices and trends in Europe as well as internationally, a complex way of urban solid waste management tends to prevail. This management method combines the Processing Unit and the Sanitary Landfill for the Residues of the process. A variety of parameters and restrictions apply when planning the siting of Residue Sanitary Landfills (RSL). The urban solid waste management problem and specifically the matter of RSL siting is constantly becoming more and more important in developed and developing countries due to pressures coming from population and urbanization growth, continuously increasing living needs and many other factors. Technology evolution and especially Geoinformatics tools, such as Geographic Information Systems (GIS) and Remote Sensing (RS), constitute rather effective ways to approach and research issues like the problem of urban solid waste management and mainly the optimal delimitation of RSL.
The aim of this paper is to locate suitable – optimal areas that can be used for placing RSL in the island of Tinos, based on legislation, environmental, economic and social criteria. The methodology followed in this research effort is developed via Geographic Information Systems (GIS) by creating a spatial database which contains all the above-mentioned criteria. This research procedure includes an important number of different method trials. The result of this process indicate several places for placing RSL in Tinos Island.

- by Stavros Roumelis and +3
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- Municipal Solid Waste Management, Spatial Databases, Geographic Information Systems (GIS), Overlay Analysis

... system development are given in Table 1. System is used as standalone system, but due to its open architecture, it is easy to integrate it with some business information system ... IN GEODESY AND RELATED FIELDS″ 24-26, June 2011,... more

- by Kristin Stock
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- Cognitive Science, Semantics, Spatial Databases, Semantic Web

Spatial databases stores the info regarding the spatial articles which are related with the keywords showing the info, like, its business/administrations/ highlights. Important issue called nearest keyword search is obviously to inquiry objects, called keyword cover. In nearest keyword search, it covers a set of query keywords and minimum distance between objects. From latest few years, keyword rating builds its accessibility and significance in protest assessment for the decision making. Here is the main purpose for developing the new algorithm called Best keyword cover which considers inter distance and also the rating gave by the clients through the online business survey destinations. Closest keyword search algorithm combines the objects from various query keywords to a generate candidate keyword cover. Two algorithms Base-line algorithm and keyword nearest-neighbor expansion algorithms are accustomed to find best keyword cover. The performance of the closest keyword algorithm drops drastically, when just how many query keyword increases. The perfect solution is of this dilemma of the existing algorithm, this work proposes generic version called keyword nearest neighbor expansion which reduces the resulted candidate keyword covers.