Web-Based Visualization of Big Geospatial Vector Data

Author(s):  
Florian Zouhar ◽  
Ivo Senner
Keyword(s):  
Author(s):  
P. Zhou ◽  
W. Huang ◽  
J. Jiang

The rapid development of computer technologies has given rise to the increase of open source web-based map services such as OpenStreetMap, a global vector data created by volunteers for free use. There is a concern about the quality and usability of the OpenStreetMap data because the volunteers that contribute the data generally lack the sufficient cartographic training. This paper focuses on the data quality analysis method for OpenStreetMap. A model for usability evaluation has been proposed. A benchmark between OpenStreetMap data and the 1:10 000 topographic data in some areas of China has been done to verify the proposed model, and the method proves to be effective.


Author(s):  
K. Manikanta ◽  
K.S. Rajan

Geospatial data visualization systems have been predominantly through applications that are installed and run in a desktop environment. Over the last decade, with the advent of web technologies and its adoption by Geospatial community, the server-client model for data handling, data rendering and visualization respectively has been the most prevalent approach in Web-GIS. While the client devices have become functionally more powerful over the recent years, the above model has largely ignored it and is still in a mode of serverdominant computing paradigm. In this paper, an attempt has been made to develop and demonstrate LSIViewer – a simple, easy-to-use and robust online geospatial data visualisation system for the user’s own data that harness the client’s capabilities for data rendering and user-interactive styling, with a reduced load on the server. The developed system can support multiple geospatial vector formats and can be integrated with other web-based systems like WMS, WFS, etc. The technology stack used to build this system is Node.js on the server side and HTML5 Canvas and JavaScript on the client side. Various tests run on a range of vector datasets, upto 35 MB, showed that the time taken to render the vector data using LSIViewer is comparable to a desktop GIS application, QGIS, over an identical system.


Author(s):  
K. Kumar ◽  
S. Saran

With the advancements in GIS technologies and extensive use of OGC Web Services, geospatial resources and services are becoming progressively copious and convenient over the network. The application of OGC WCS (Web Coverage Service) and WFS (Web Feature Service) standards for geospatial raster and vector data has resulted in an opulent pool of interoperable geodata resources waiting to be used for analytical or modelling purposes. The issue of availing geospatial data processing with the aid of standardised web services was attended to by the OGC WPS (Web Processing Service) 1.0.0 specifications (Schut, 2007) which elucidate WPS as a standard interface which serves for the promulgation of geo-processes and consumption of those processes by the clients. This paper outlines the design and implementation of a geo-processing tool utilizing coverage data. The geo-process selected for application is the calculation of Normalized Difference Vegetative Index (NDVI), one of the globally used indices for vegetation cover monitoring. The system is realised using the Geospatial Data Abstraction Library (GDAL) and Python. The tool accesses the WCS server using the parameters defined in the XML request. The geo-process upon execution, performs the computations over the coverage data and generates the NDVI output. Since open source technology and standards are being used more often, especially in the field of scientific research, so our implementation is also built by using open source tools only.


1998 ◽  
Vol 62 (9) ◽  
pp. 671-674
Author(s):  
JF Chaves ◽  
JA Chaves ◽  
MS Lantz
Keyword(s):  

2013 ◽  
Vol 23 (3) ◽  
pp. 82-87 ◽  
Author(s):  
Eva van Leer

Mobile tools are increasingly available to help individuals monitor their progress toward health behavior goals. Commonly known commercial products for health and fitness self-monitoring include wearable devices such as the Fitbit© and Nike + Pedometer© that work independently or in conjunction with mobile platforms (e.g., smartphones, media players) as well as web-based interfaces. These tools track and graph exercise behavior, provide motivational messages, offer health-related information, and allow users to share their accomplishments via social media. Approximately 2 million software programs or “apps” have been designed for mobile platforms (Pure Oxygen Mobile, 2013), many of which are health-related. The development of mobile health devices and applications is advancing so quickly that the Food and Drug Administration issued a Guidance statement with the purpose of defining mobile medical applications and describing a tailored approach to their regulation.


2008 ◽  
Vol 41 (8) ◽  
pp. 23
Author(s):  
MITCHEL L. ZOLER
Keyword(s):  

2009 ◽  
Vol 42 (19) ◽  
pp. 27
Author(s):  
BRUCE JANCIN
Keyword(s):  

GeroPsych ◽  
2013 ◽  
Vol 26 (4) ◽  
pp. 233-241 ◽  
Author(s):  
Pär Bjälkebring ◽  
Daniel Västfjäll ◽  
Boo Johansson

Regret and regret regulation were studied using a weeklong web-based diary method. 108 participants aged 19 to 89 years reported regret for a decision made and a decision to be made. They also reported the extent to which they used strategies to prevent or regulate decision regret. Older adults reported both less experienced and anticipated regret compared to younger adults. The lower level of experienced regret in older adults was mediated by reappraisal of the decision. The lower level of anticipated regret was mediated by delaying the decision, and expecting regret in older adults. It is suggested that the lower level of regret observed in older adults is partly explained by regret prevention and regulation strategies.


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