Humanity has used spatial data for many centuries begining with sea explorations in the 13-th century. The data, often displayed as navigation charts, were acquired with rudimental equipment. Technological advances were key in changing the use of map and surveyed data. In modern times, the great significance of land surveying and mapping processes lies in the ability to satisfy a diversity of user demands. In this fact also lies the justification for national and international policies to regulate outcomes and ensure that the skills and products will continue to exist as a public good throughout the generations. Land surveying and topographical mapping are undertakings of great significance to the socio-economic fabric of nations. The Interventions are also known for the many cross-sector linkages manifested in: (i) the extent of reliance of landed projects on various services and products; (ii) its central place in national strategic plans including economic growth, poverty reduction and law and order; and (iii) its role in the development of urban centres. Based on Tanzania´s century-old experience, this book is vital to policy makers and all pursuing landed projects in Africa.
This work discusses a framework ´´RAiSE´´ which is a tailored hybrid recommendation engine which recommends best areas for sowing a particular crop based on climatic pattern exploration.The system exploits the merits of different techniques namely- parallel processing, clustering and classification in obtaining the results. It uses the power of new age big data technologies like Hadoop in achieving its goals.
This book explains how to use a data-driven approach to design strategies for social media content delivery. It first introduces readers to how social information can be effectively gathered for big data analysis, which provides content delivery intelligence. Secondly, the book describes data-driven models to capture information diffusion in online social networks and social media content propagation and popularity, before presenting prediction models for social media content delivery. By addressing the resource allocation and content replication aspects of social media content delivery, the book presents the latest data-driven strategies. In closing, it outlines a number of potential research directions regarding social media content delivery.
This book constitutes the proceedings of the 17th IFIP WG 8.5 International Conference on Electronic Government, EGOV 2018, held in Krems, Austria, in September 2018, in conjunction with the 10th International Conference on eParticipation, ePart 2018. The 22 revised full papers presented were carefully reviewed and selected from 48 submissions. The papers are clustered under the following topical sections: General E-Government and Open Government; Open Data, Linked Data, and Semantic Web; Smart Governance (Government, Cities and Regions); and Artificial Intelligence, Data Analytics and Automated Decision-Making.
With significant growth of bio-molecular sequence data in the last decade the need for algorithms to extract patterns and meaningful information from such data has been felt strongly. Alignment of sequences, in order to determine regions of common descent, has also been an important area of research as it helps scientist discover the evolution of species. Another problem that researchers are putting in a lot of effort into, is document summary. As the lower bound for computation is being met for various algorithms, to further expedite the computing on large data sets, parallelization has become imperative. New multiprocessor architectures like the Cell Broadband Engine have the potential to do extensive calculations and act as mini-supercomputers. Other applications for these include onboard aircraft fault diagnosis and prognosis. We take a peek into some existing algorithms for these problems as well as propose novel algorithms along with their implementations to address these problems in the field of bioinformatics.
This volume aims to stimulate discussions on research involving the use of data and digital images as an understanding approach for analysis and visualization of phenomena and experiments. The emphasis is put not only on graphically representing data as a way of increasing its visual analysis, but also on the imaging systems which contribute greatly to the comprehension of real cases. Scientific Visualization and Imaging Systems encompass multidisciplinary areas, with applications in many knowledge fields such as Engineering, Medicine, Material Science, Physics, Geology, Geographic Information Systems, among others. This book is a selection of 13 revised and extended research papers presented in the International Conference on Advanced Computational Engineering and Experimenting -ACE-X conferences 2010 (Paris), 2011 (Algarve), 2012 (Istanbul) and 2013 (Madrid). The examples were particularly chosen from materials research, medical applications, general concepts applied in simulations and image analysis and other interesting related problems.
During task composition, such as can be found in distributed query processing, workflow systems and AI planning, decisions have to be made by the system and possibly by users with respect to how a given problem should be solved. Although there is often more than one correct way of solving a given problem, these multiple solutions do not necessarily lead to the same result. Some researchers are addressing this problem by providing data provenance information. Others use expert advice encoded in a supporting knowledge-base. However, users do not usually trust complete automation during decision-making for certain domains with natural variation, like biology; they need a way to be able to control and/or intervene with the system´s reasoning to verify parts of the process. This book provides a thorough analysis of the problem and presents a data-centric methodology of measuring decision criticality and describe its potential use. We argue that agent technology is a natural fit for the design of distributed heterogeneous integration systems, particularly in bioinformatics, and we propose a multi-agent system design and architecture as the basis of our framework.
This contributed volume contains the conference proceedings of the Simulation of Urban Mobility (SUMO) conference 2015, Berlin. The included papers cover a wide range of topics in traffic planning and simulation, including intermodal simulation, intermodal transport, vehicular communication, modeling urban mobility, open data as well as autonomous driving. The target audience primarily comprises researchers and experts in the field of mobility research, but the book may also be beneficial for graduate students.
This book constitutes the refereed proceedings of the 7th International Conference on Electronic Government and the Information Systems Perspective, EGOVIS 2018, held in Regensburg, Germany, in September 2018. The 19 revised full papers presented were carefully reviewed and selected from 22 submissions. The papers are organized in the following topical sections: digitalization and transparency; challenges in e-government technology and e-voting; knowledge management in the context of e-government; semantic technologies and the legal aspects; open data and open innovation; and e-government cases - data and knowledge management.
This book introduces Python scripting for geographic information science (GIS) workflow optimization using ArcGIS. It builds essential programming skills for automating GIS analysis. Over 200 sample Python scripts and 175 classroom-tested exercises reinforce the learning objectives. Readers will learn to: - Write and run Python in the ArcGIS Python Window, the PythonWin IDE, and the PyScripter IDE - Work with Python syntax and data types - Call ArcToolbox tools, batch process GIS datasets, and manipulate map documents using the arcpy package - Read and modify proprietary and ASCII text GIS data - Parse HTML web pages and KML datasets - Create Web pages and fetch GIS data from Web sources. - Build user-interfaces with the native Python file dialog toolkit or the ArcGIS Script tools and PyToolboxes Python for ArcGIS is designed as a primary textbook for advanced-level students in GIS. Researchers, government specialists and professionals working in GIS will also find this book useful as a reference.