Research on storing raster metadata in spatial database

Storage of raster metadata is a key topic in spatial database. Although there are a few of abstract standards on raster metadata, there is not implement standard about it. This paper concludes three storage models implemented in current spatial databases and discusses their advantages and disadvantages. After that analyzing, the paper proposes a mixed storage method which is used the relational table to store structured metadata and used XML to store non-structured metadata, and gives its implementation solution. © 2010 IEEE.

Spatial database of canopy plant densities created from satellite images over Galapagos in 2011, with intent to manage invasive species

Mapping is an important tool for the management of plant invasions. If landscapes are mapped in an appropriate way, results can help managers decide when and where to prioritize their efforts. We mapped vegetation with the aim of providing key information for managers on the extent, density and rates of spread of multiple invasive species across the landscape. Our case study focused on an area of Galapagos National Park that is faced with the challenge of managing multiple plant invasions. We used satellite imagery to produce a spatially-explicit database of plant species densities in the canopy, finding that 92% of the humid highlands had some degree of invasion and 41% of the canopy was comprised of invasive plants. We also calculated the rate of spread of eight invasive species using known introduction dates, finding that species with the most limited dispersal ability had the slowest spread rates while those able to disperse long distances had a range of spread rates. Our results on spread rate fall at the lower end of the range of published spread rates of invasive plants. This is probably because most studies are based on the entire geographic extent, whereas our estimates took plant density into account. A spatial database of plant species densities, such as the one developed in our case study, can be used by managers to decide where to apply management actions and thereby help curtail the spread of current plant invasions. For example, it can be used to identify sites containing several invasive plant species, to find the density of a particular species across the landscape or to locate where native species make up the majority of the canopy. Similar databases could be developed elsewhere to help inform the management of multiple plant invasions over the landscape.

Spatial electric load forecasting using an evolutionary heuristic

A method for spatial electric load forecasting using elements from evolutionary algorithms is presented. The method uses concepts from knowledge extraction algorithms and linguistic rules' representation to characterize the preferences for land use into a spatial database. The future land use preferences in undeveloped zones in the electrical utility service area are determined using an evolutionary heuristic, which considers a stochastic behavior by crossing over similar rules. The method considers development of new zones and also redevelopment of existing ones. The results are presented in future preference maps. The tests in a real system from a midsized city show a high rate of success when results are compared with information gathered from the utility planning department. The most important features of this method are the need for few data and the simplicity of the algorithm, allowing for future scalability.

Multiresolution spatial databases: Making web-based spatial advances faster

Spatial data has now been used extensively in the Web environment, providing online customized maps and supporting map-based applications. The full potential of Web-based spatial applications, however, has yet to be achieved due to performance issues related to the large sizes and high complexity of spatial data. In this paper, we introduce a multiresolution approach to spatial data management and query processing such that the database server can choose spatial data at the right resolution level for different Web applications. One highly desirable property of the proposed approach is that the server-side processing cost and network traffic can be reduced when the level of resolution required by applications are low. Another advantage is that our approach pushes complex multiresolution structures and algorithms into the spatial database engine. That is, the developer of spatial Web applications needs not to be concerned with such complexity. This paper explains the basic idea, technical feasibility and applications of multiresolution spatial databases.

A scaleless data model for direct and progressive spatial query processing

A progressive spatial query retrieves spatial data based on previous queries (e.g., to fetch data in a more restricted area with higher resolution). A direct query, on the other side, is defined as an isolated window query. A multi-resolution spatial database system should support both progressive queries and traditional direct queries. It is conceptually challenging to support both types of query at the same time, as direct queries favour location-based data clustering, whereas progressive queries require fragmented data clustered by resolutions. Two new scaleless data structures are proposed in this paper. Experimental results using both synthetic and real world datasets demonstrate that the query processing time based on the new multiresolution approaches is comparable and often better than multi-representation data structures for both types of queries.

Semantic caching for multiresolution spatial query processing in mobile environments

Spatial data are particularly useful in mobile environments. However, due to the low bandwidth of most wireless networks, developing large spatial database applications becomes a challenging process. In this paper, we provide the first attempt to combine two important techniques, multiresolution spatial data structure and semantic caching, towards efficient spatial query processing in mobile environments. Based on the study of the characteristics of multiresolution spatial data (MSD) and multiresolution spatial query, we propose a new semantic caching model called Multiresolution Semantic Caching (MSC) for caching MSD in mobile environments. MSC enriches the traditional three-category query processing in semantic cache to five categories, thus improving the performance in three ways: 1) a reduction in the amount and complexity of the remainder queries; 2) the redundant transmission of spatial data already residing in a cache is avoided; 3) a provision for satisfactory answers before 100% query results have been transmitted to the client side. Our extensive experiments on a very large and complex real spatial database show that MSC outperforms the traditional semantic caching models significantly

Landslide susceptibility mapping in the downstream region of Sharavathi river basin, Central Western Ghats

Landslides are hazards encountered during monsoon in undulating terrains of Western Ghats causing geomorphic make over of earth surface resulting in significant damages to life and property. An attempt is made in this paper to identify landslides susceptibility regions in the Sharavathi river basin downstream using frequency ratio method based on the field investigations during July- November 2007. In this regard, base layers of spatial data such as topography, land cover, geology and soil were considered. This is supplemented with the field investigations of landslides. Factors that influence landslide were extracted from the spatial database. The probabilistic model -frequency ratio is computed based on these factors. Landslide susceptibility indices were computed and grouped into five classes. Validation of LHS, showed an accuracy of 89% as 25 of the 28 regions tallied with the field condition of highly vulnerable landslide regions. The landslide susceptible map generated for the downstream would be useful for the district officials to implement appropriate mitigation measures to reduce hazards.

Solar energy potential assessment using GIS

Renewable energy resources are those having a cycling time less than 100 years and are renewed by the nature and their supply exceeds the rate of consumption. Renewable energy systems use resources that are constantly replaced in nature and are usually less polluting. In order to tap the potential of renewable energy sources, there is a need to assess the availability of resources spatially as well as temporally. Geographic Information Systems (GIS) along with Remote Sensing (RS) helps in mapping on spatial and temporal scales of the resources and demand. The spatial database of resource availability and the demand would help in the regional energy planning. This paper discusses the application of geographical information system (GIS) to map the solar potential in Karnataka state, India. Regions suitable for tapping solar energy are mapped on the basis of global solar radiation data, and this analysis provides a picture of the potential. The study identifies that Coastal parts of Karnataka with the higher global solar radiation is ideally suited for harvesting solar energy. The potential analysis reveals that, maximum global solar radiation is in districts such as Uttara Kannada and Dakshina Kannada. Global solar radiation in Uttara Kannada during summer, monsoon and winter are 6.31, 4.40 and 5.48 kWh/sq.m, respectively. Similarly, Dakshina Kannada has 6.16, 3.89 and 5.21 kWh/sq.m during summer, monsoon and winter.

Sistema de classificação da gestão ambiental pública municipal baseado em lógica nebulosa

A partir da Lei n. 6.938 de 31 de agosto de 1981, que constituiu o Sistema Nacional do Meio Ambiente, criou-se o Conselho Nacional do Meio Ambiente e instituiu-se o Cadastro Técnico Federal de Atividades e Instrumentos de Defesa Ambiental, a gestão ambiental pública ganhou um espaço cada vez maior nas administrações municipais, com a implementação de instrumentos de gestão ambiental propiciando aos municípios a possibilidade de ações efetivas que contribuam para uma melhor qualidade de vida a população. Esse trabalho propõe a criação de um método de classificação municipal que indicará qual o nível da gestão ambiental do município. Verificando o número de instrumentos de gestão ambiental constituído e o número de problemas ambientais ocorridos em cada município na visão do gestor local nos anos de 2006/2008. E ainda qual a influência do IDH tanto na implementação de tais instrumentos de gestão ambiental, como nas ocorrências dos problemas ambientais. Tal classificação tem a intenção de verificar se o município encontra-se bem aparelhado no que se refere à gestão ambiental, auxiliando para futuras decisões nas ações da política ambiental local. O foco desse trabalho serão os municípios dos estados de Minas Gerais, Piauí e Rio de Janeiro. Os resultados serão processados via o software MATLAB utilizando lógica nebulosa (fuzzy) e apresentados em um website utilizando as linguagens de programação JSP, HTML, JavaScript e esse website armazenado em um servidor TomCat e tais resultados serão apresentados nas formas de valores alfanuméricos em tabelas e espaciais através de mapas temáticos em uma solução sig-web. Os dados estão armazenados em um Sistema Gerenciador de Banco de Dados PostgreSQL com sua extensão espacial PostGIS, e o acesso aos mapas será feito através do servidor de mapas MapServer.

浅论实现基于MapX的灌溉信息系统的关键技术

现代化的灌溉用水管理是实现农业高效用水的重要措施之一,它可实现灌溉水资源的合理配置和灌溉系统的优化调度,达到节水增产目的,使有限的水资源获得最大的效益。采用手工方式进行灌溉用水管理,难以及时提供水资源利用最优化方案,因此急需研制出具有网络通信功能的可视化操作界面的灌溉信息管理系统,为灌区水资源评价和利用、规划等工作奠定良好的数据基础。GIS不仅具有强大的空间数据管理功能,还具有丰富的多元地学数据分析处理能力和直观的图形显示效果,因此利用GIS进行灌区的管理与建设将会有效提高灌区的工作效率和经济效益。笔者在实践调研的基础上,根据灌溉信息管理系统的功能规划及结构设计,利用MapX组件工具开发了陕西省冯家山灌区灌溉信息系统,对提高灌溉用水的管理效率进行了实例尝试,并着重对下列关键技术的运用进行了实践与思考:(1)阐述了利用可视化编程工具结合数据库管理技术、地理信息系统组件技术、网络通信技术等进行系统开发的过程;(2)着重介绍了基于MapX组件的空间数据库的建立与关联技术、灌溉管理信息的网络通信实现技术;(3)最后对在灌溉管理工作中运用GIS技术进行科学管理等相关问题进行了有益的探讨。

基于Geodatabase和Arcengine的海岛空间数据库的设计与实现

本文对山东省海岛进行了研究，认识了山东省不同地区海岛的自然环境、资源和开发利用的总体状况。通过对大量的海岛调查资料的整理、分析，提出了利用Geodatabase数据模型构建山东省海岛空间数据库来组织和存储海岛数据的方案，采用GIS软件平台ArcEngine和程序开发语言研发山东省海岛管理信息系统。 山东省是我国海岛资源比较丰富的省份。从整体来看，山东省海岛地理位置优越，气候条件好，海岛类型分为基岩岛、沙岛和人工岛，其中大部分海岛为基岩岛，沙岛主要分布在黄河三角洲北侧的滨州和潍坊昌邑。山东省海岛拥有丰富的渔业资源、水产资源、旅游资源、土地资源、港口资源、地下卤水资源、贝壳砂资源等，依据这些资源优势，海岛的开发也集中在养殖业开发、旅游开发、港口资源开发等。 Geodatabase数据模型能够有效地定义、组织空间数据，ArcSDE技术提供了空间数据存储在商业关系型数据库的通道，Geodatabase数据模型和ArcSDE技术使得使用同一大型的关系型数据库统一存储空间数据和属性数据成为可能。本文采用Geodatabase数据模型、ArcSDE技术、SQL Server数据库，设计了海岛数据的统一存储和管理模型，通过数据处理和入库建立了山东省海岛空间数据库。 本文还基于GIS软件平台ArcEngine组件和程序开发语言VB.NET完成了山东省海岛管理信息系统的开发。该系统实现了海岛数据的访问和加载、海岛地图的显示和操作、海岛数据的多种方式的查询显示、地图的几何量算功能以及海岛专题资料的集成与综合分析，同时系统也提供数据图层的标注、图层颜色的设置，图层的移动、删除功能。这些功能的实现对山东省海岛的开发、管理提供了有用的平台，为决策部门提供服务。

基于GIS的高速公路养护管理信息系统的设计与开发

China is experiencing a rapid development of highway ever since 1990s. By the end of 2004, the total length of the highway summed up to 33 thousand kilometers, ranking 2n in the world. After the open of highway, the accumulation of time and traffic causes the decrease of its capability. To ensure its good quality, security and operation functions, we should take some reasonable measures to maintain it periodically. At present, a big problem is that the traditional maintain measures can no longer meet the increasing requirements. Due to the characters of highway, the relationship of various maintenance data and geographic positions is even closer than any others. If we wan to improve the quality and efficiency of the maintenance work, particularly when there is need for decision-making, a great number of data that is related to geographic positions are absolutely necessary. Evidently, Geographical Information System (GIS) has incomparably advantages in dealing with these spatial information. As a result, a management system for highway maintenance work based on GIS became inevitable for the development of the maintenance of highway. The purpose of this paper is to establish a management system for highway maintenance work base on Geographical Information System (GIS), Global Positioning System (GPS) and spatial database, to manage all kinds of problems encountered in the work, and to provide support on information and methods. My study mainly includes: (1) Analysis on the current status of the maintenance and management work; overview on the history of domestic and international highway maintenance management systems; identifying the necessity and importance for establishing a management system for highway maintenance work based on GIS. (2) Based on the requirement analysis, I proposed a general design for this management system, and discussed the objective, design principles, framework, systematical structure and function design. (3) Outdoor data collection is not only a prime way to understand the current situation of the road, but also an important method for data update after the system is put into use. This paper also intends to establish a set of plan to collect data efficiently and precisely which is based on GIS and GPS technologies. (4) The maintenance management database is a supporting platform for various maintenance decision-makings. Such decisions need the support of a great amount of data, which would cause other problems, such as the diversity of the data source, difference of data formats. This paper also discussed how to deal with these problems and establish such a database. (5) To propose an approach to assess the condition of pavement, based on GIS and related maintenance models. Among all the maintenance models, the two for assessing and forecasting pavement condition are the most important and mature. This paper also analyzed these two models and introduced them in terms of the integration of models. (6) This paper took the Guangshen Highway for example, explaining how to realize a GIS for management of highway maintenance work.

Wildlife tracking data management: a new vision

To date, the processing of wildlife location data has relied on a diversity of software and file formats. Data management and the following spatial and statistical analyses were undertaken in multiple steps, involving many time-consuming importing/exporting phases. Recent technological advancements in tracking systems have made large, continuous, high-frequency datasets of wildlife behavioral data available, such as those derived from the global positioning system (GPS) and other animal-attached sensor devices. These data can be further complemented by a wide range of other information about the animals’ environment. Management of these large and diverse datasets for modelling animal behaviour and ecology can prove challenging, slowing down analysis and increasing the probability of mistakes in data handling. We address these issues by critically evaluating the requirements for good management of GPS data for wildlife biology. We highlight that dedicated data management tools and expertise are needed. We explore current research in wildlife data management. We suggest a general direction of development, based on a modular software architecture with a spatial database at its core, where interoperability, data model design and integration with remote-sensing data sources play an important role in successful GPS data handling.

Sistema de geocodificación libre: Callejero Digital de Andalucía

La Junta de Andalucía dentro de su proyecto de Sistema de Información Geográfico Corporativo (SIGC), ha desarrollado un módulo de Callejero Digital de Andalucía (CDA) que recoge la información de direcciones de los 770 municipios de Andalucía. El Callejero Digital de Andalucía se articula en torno a los datos espaciales, una aplicación web de consulta, un motor de búsqueda (geocoder) y una serie de servicios OGC y SOAP. Todas los desarrollos están basados en software libre y pretenden convertirse en la herramienta corporativa para establecer la geoinformación asociada a registros y direcciones postales de la Junta de Andalucía. (...)

Análise da suscetibilidade a movimentos de massa no município de Peruíbe - SP, com o apoio de um sistema integrador de informações georeferenciadas

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)