e-Report Generator Supporting Communications and Fieldwork: A Practical Case of Electrical Network Expansion Projects

In this piece of work we present a simple way to incorporate Geographical Information System tools that have been developed using open source software in order to help the different processes in the expansion of the electrical network. This is accomplished by developing a novel fieldwork tool that provides the user with automatically generated enriched e-reports that include information about every one of the involved private real estates in a specific project. These reports are an eco-friendly alternative to paper format, and can be accessed by clients using any kind of personal device with a minimal set of technical requirements

Application of Web Mashup Technology to Oyster Information Services

Web mashup is a lightweight technology used to integrate data from remote sources without direct access to their databases. As a data consumer, a Web mashup application creates new contents by retrieving data through the Web application programming interface (API) provided by the external sources. As a data provider, the service program publishes its Web API and implements the specified functions. In the project reported by this thesis, we have implemented two Web mashup applications to enhance the Web site oystersentinel.org: the Perkinsus marinus model and the Oil Spill model. Each model overlay geospatial data from a local database on top of a coastal map from Google Maps. In addition, we have designed a Web-based data publishing service. In this experimental system, we illustrated a successful Web mashup interface that allows outside developers to access the data about the local oyster stock assessment

A Data-driven, High-performance and Intelligent CyberInfrastructure to Advance Spatial Sciences

abstract: In the field of Geographic Information Science (GIScience), we have witnessed the unprecedented data deluge brought about by the rapid advancement of high-resolution data observing technologies. For example, with the advancement of Earth Observation (EO) technologies, a massive amount of EO data including remote sensing data and other sensor observation data about earthquake, climate, ocean, hydrology, volcano, glacier, etc., are being collected on a daily basis by a wide range of organizations. In addition to the observation data, human-generated data including microblogs, photos, consumption records, evaluations, unstructured webpages and other Volunteered Geographical Information (VGI) are incessantly generated and shared on the Internet. Meanwhile, the emerging cyberinfrastructure rapidly increases our capacity for handling such massive data with regard to data collection and management, data integration and interoperability, data transmission and visualization, high-performance computing, etc. Cyberinfrastructure (CI) consists of computing systems, data storage systems, advanced instruments and data repositories, visualization environments, and people, all linked together by software and high-performance networks to improve research productivity and enable breakthroughs that are not otherwise possible. The Geospatial CI (GCI, or CyberGIS), as the synthesis of CI and GIScience has inherent advantages in enabling computationally intensive spatial analysis and modeling (SAM) and collaborative geospatial problem solving and decision making. This dissertation is dedicated to addressing several critical issues and improving the performance of existing methodologies and systems in the field of CyberGIS. My dissertation will include three parts: The first part is focused on developing methodologies to help public researchers find appropriate open geo-spatial datasets from millions of records provided by thousands of organizations scattered around the world efficiently and effectively. Machine learning and semantic search methods will be utilized in this research. The second part develops an interoperable and replicable geoprocessing service by synthesizing the high-performance computing (HPC) environment, the core spatial statistic/analysis algorithms from the widely adopted open source python package – Python Spatial Analysis Library (PySAL), and rich datasets acquired from the first research. The third part is dedicated to studying optimization strategies for feature data transmission and visualization. This study is intended for solving the performance issue in large feature data transmission through the Internet and visualization on the client (browser) side. Taken together, the three parts constitute an endeavor towards the methodological improvement and implementation practice of the data-driven, high-performance and intelligent CI to advance spatial sciences.Dissertation/ThesisDoctoral Dissertation Geography 201

Geographic information system for manabí sustainable development

One of the barriers that are recognized based on the sustainable development of the territories is related to the lack of information. This research aims to design a Geographic Information System for information management of Renewable Energy Sources (FRE), which improve its quality, energy efficiency and enhance the diversification of generation sources in the province of Manabí, Ecuador. Following a documentary and applied research, the proposed system will be shown through a GeoWeb where it is intended to replace the manual way of updating information regarding FRE, conventional energy sources and renewable potentials by an automated system, with greater consistency and facilitating the handling and access to information quickly and safely; In addition to making viable the decision-making and the conception of strategies, with an integrating vision that allows to move from the current energy model that is based on fossil fuels to an energy-sustainable one

Dashboard para apoio à decisão na análise de tráfego e ambiente de uma cidade inteligente

Mestrado em Engenharia InformáticaCities are continuously growing in population, vehicles, infrastructures and intelligence. Using and deploying smart technologies in the cities infrastructure can improve the multiple existing areas of a city, such as mobility by improving the road network, infrastructure by improving the urban planning and population by contributing with better services. Porto city has an in-place infrastructure of xed and moving sensors in more than 400 buses and roadside units, with both GPS and mobility sensors in moving elements, and with environmental sensors in xed units. This infrastructure can provide valuable data that can extract information to better understand the city and, eventually, support actions to improve the city mobility, urban planning, and environment. This work has the objective of using the information generated by the sensors placed in the buses of Porto, and using it to analyze the road tra c information based on the mobility patterns of the buses. The data from the environmental sensors deployed in Porto is also provided and used to analyze the air quality of the city and its in uence by the tra c. The developed system provides a full stack integration of the information into a city dashboard that displays and correlates the data generated from the buses movement and the environment from the xed sensors, allowing di erent visualizations over the road tra c and the environment in the city, and decisions over the current status of the city. A good example is the relation of bus speed variation with possible anomalies on the road or tra c jams. Visualizing such information with a superior level of detail on the road tra c, more anomalies can be found, adding more value to a city manager when taking urban planning decisions to improve the city mobility in a smart way.As cidades tem estado continuamente a crescer tanto em populaçao, como em veiculos, infra-estruturas e inteligencia. Ao implementar e usar tecnologias inteligentes na infra-estrutura das cidades, e possivel melhorar as diversas areas de uma cidade, como a mobilidade ao melhorar a infra-estrutura das estradas, as infra-estruturas ao melhorar o planeamento urbano e a populaçao ao disponibilizar melhores serviços. A cidade do Porto tem neste momento uma infra-estrutura de sensores fixos e moveis em mais de 400 autocarros, e unidades de comunicação na estrada, com GPS e sensores de mobilidade nos elementos moveis, e com sensores ambientais nas unidades fixas. Esta infra-estrutura proporciona dados valiosos baseados nos padrões de mobilidade dos autocarros. Os dados dos sensores ambientais são também disponibilizados e usados para analisar a qualidade do ar da cidade e a sua influencia perante o trafego de veículos. O sistema desenvolvido fornece uma integração completa da informação num dashboard da cidade que mostra e correlaciona os dados gerados pelo movimento dos autocarros e do ambiente a partir dos sensores fixos, permitindo diferentes visualizações do trânsito nas estradas e do ambiente na cidade, e decisões sobre o estado actual da cidade. Um bom exemplo e a relação da variação da velocidade dos autocarros com possíveis anomalias na estrada ou engarrafamentos. Ao visualizar esta informação com um nível de detalhe superior nas anomalias encontradas na estrada, o gestor da cidade pode beneficiar do dashboard quando precisa de tomar decisões relacionadas com o planeamento urbano e assim melhorar de uma maneira inteligente a mobilidade da cidade

Development of a mobile solution for spatial data collection using open source technologies

Information technologies (ITs), and sports resources and services aid the potential to transform governmental organizations, and play an important role in contributing to sustainable communities development, respectively. Spatial data is a crucial source to support sports planning and management. Low-cost mobile geospatial tools bring productive and accurate data collection, and their use combining a handy and customized graphical user interface (GUI) (forms, mapping, media support) is still in an early stage. Recognizing the benefits — efficiency, effectiveness, proximity to citizens — that Mozambican Minister of Youth and Sports (MJD) can achieve with information resulted from the employment of a low-cost data collection platform, this project presents the development of a mobile mapping application (app) — m-SportGIS — under Open Source (OS) technologies and a customized evolutionary software methodology. The app development embraced the combination of mobile web technologies and Application Programming Interfaces (APIs) (e.g. Sencha Touch (ST), Apache Cordova, OpenLayers) to deploy a native-to-the-device (Android operating system) product, taking advantage of device’s capabilities (e.g. File system, Geolocation, Camera). In addition to an integrated Web Map Service (WMS), was created a local and customized Tile Map Service (TMS) to serve up cached data, regarding the IT infrastructures limitations in several Mozambican regions. m-SportGIS is currently being exploited by Mozambican Government staff to inventory all kind of sports facilities, which resulted and stored data feeds a WebGIS platform to manage Mozambican sports resources