Integrating Airport Geographic Information System (GIS) Data with Public Agency GIS

2014 ◽  
Author(s):  
Randall J. Murphy and Ramzi K. Bannura ◽  
◽  
◽  
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Geographic Information ◽  
Public Agency ◽  
Gis Data

scholarly journals An On-Demand Scalable Model for Geographic Information System (GIS) Data Processing in a Cloud GIS

2019 ◽  
Vol 8 (9) ◽  
pp. 392
Author(s):  
Junqiang Zhang ◽  
Lirui Xu ◽  
Yi Zhang ◽  
Gang Liu ◽  
Lingjun Zhao ◽  
...  
Keyword(s):  
Information System ◽  
Information Processing ◽  
Geographic Information System ◽  
Data Processing ◽  
Business Processes ◽  
Geographic Information ◽  
Processing Method ◽  
On Demand ◽  
Business System ◽  
Gis Data

With the rapid development of information processing technology and continuously evolving technological hardware and software, the scale of spatial data has grown exponentially. This has necessitated that stricter requirements be placed on the way data is processed. The traditional single-machine centralized data processing method is gradually being replaced by the network-based cloud geographic information system (GIS) mode. However, the information processing method of the business system in the existing spatial information network environment is difficult to expand, which limits the application of the business system. This paper proposes an on-demand and extended model for the GIS data processing procedure that considers the three-way separation of algorithm development, business processes, and the operational interface, and can implement an on-demand expansion of business processes by process modeling the business and task scheduling the workflow engine. This can expand the scope of business systems and improve the efficiency of business system construction.

scholarly journals BUILDING INFORMATION MODELING (BIM) AND GEOGRAPHIC INFORMATION SYSTEM (GIS) DATA COMPATIBILITY FOR CONSTRUCTION PROJECT

2021 ◽  
Vol 6 (24) ◽  
pp. 278-289
Author(s):  
Wan Nor Fa’aizah Wan Abdul Basir ◽  
Uznir Ujang ◽  
Zulkepli Majid
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Data Exchange ◽  
Large Scale ◽  
Building Information Modeling ◽  
Construction Project ◽  
Geographic Information ◽  
Information Modeling ◽  
Gis Data ◽  
Building Information

Building Information Modeling (BIM) is a technology that focusing on the building element properties to the construction components which cover the interior and exterior building, while Geographic Information System (GIS) describe to the technology that can provide the large-scale information which cover inside and outside buildings (spaces and areas). In construction project application, BIM technology already been used as a worldwide tool while GIS rarely been applied. Each technology contains their own advantages that can be utilized in the construction project application. To bring the best effective approach in construction project, the integration between BIM and GIS technology can be considered. This paper presented an attempt in integrating BIM and GIS by using FME as a data integration platform to solve the limitation of BIM in construction project by using advantages of GIS. Through this research, an investigation of the data exchange during integration process between BIM and GIS will be look up. By using this approach, it is possible to store the BIM and GIS data in one environment. The end results for this paper will cover the method of the data exchange between BIM to GIS and GIS to BIM. Besides that, this paper highlight how GIS can solve the limitation in BIM in construction project.

GEOGRAPHIC INFORMATION SYSTEM STANDARDS FOR U.S. ENVIRONMENTAL PROTECTION AGENCY'S OIL SPILL PROGRAM

2001 ◽  
Vol 2001 (2) ◽  
pp. 1125-1127
Author(s):  
Ray Worley ◽  
Mark Keller
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Environmental Protection ◽  
Environmental Protection Agency ◽  
Geographic Information ◽  
Mapping Tool ◽  
Units Of Analysis ◽  
Gis Tools ◽  
Gis Data ◽  
Data Elements

ABSTRACT The Oil Program Center at the U.S. Environmental Protection Agency (EPA) Headquarters is developing geographic information system (GIS) standards to aid EPA's 10 regions in developing and implementing GIS. GIS can support spill response, contingency planning, risk analysis, training and exercises, inspections and enforcement actions, reporting, incident analysis, cost recovery, and outreach. By developing and promoting standards, the Oil Program Center hopes to ensure that GIS development is targeted at the broadest practical user base and considers all aspects of EPA's oil program. In addition, GIS standards will promote consistency between EPA regions, promote data sharing, reduce duplication of effort, and focus attention on using GIS as an analytical tool rather than just as a mapping tool. The standards also may promote greater consistency between the Oil Program Center and other offices within EPA; for example, standards promote watershed-based analysis, which is consistent with other offices' use of watersheds as units of analysis. The standards address the following issues: Minimum essential data elements Data verification and accuracy standards Standard symbols and icons System design and data structure Because the specific needs of regions differ, the GIS tools that they develop will reflect these differences. GIS data standards, however, will promote compatibility across the regions to facilitate collaboration and expand prevention, preparedness, response, and outreach capabilities.

Techniques for Building Multijurisdictional Geographic Information System Platforms for Transportation Analysis

2002 ◽  
Vol 1804 (1) ◽  
pp. 187-195
Author(s):  
Kai Han ◽  
Jeannette Montufar ◽  
Scott Minty ◽  
Alan Clayton
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Data Sharing ◽  
Spatial Data ◽  
Geographic Information ◽  
Data Sources ◽  
Data Sets ◽  
Data Interoperability ◽  
Gis Data ◽  
Transportation Applications

Transportation analysis involving multiple jurisdictions requires data sharing and spatial data interoperability among geographic information system (GIS) data sets. Data sharing and spatial data interoperability issues related to multijurisdictional transportation analysis are discussed. Specific techniques based on practical data-sharing, problem-solving experience are developed. To further enhance the data-sharing process, a conceptual framework is established to guide technique implementations. Regional GIS transportation (GIS-T) platforms integrated from various data sources by applying the framework and the associated techniques are also presented. To better support different transportation applications, an open GIS-T platform is proposed, consisting of a series of customized base maps, each tailored to suit individual applications and, as a whole, linked together by inherently established interoperability.

scholarly journals STREETGEN: IN-BASE PROCEDURAL-BASED ROAD GENERATION

2015 ◽  
Vol II-3/W5 ◽  
pp. 409-416 ◽  
Author(s):  
R. Cura ◽  
J. Perret ◽  
N. Paparoditis
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Input Data ◽  
State Of The Art ◽  
Geographic Information ◽  
Unified Framework ◽  
Cultural Activities ◽  
Simple Hypothesis ◽  
Gis Data ◽  
The City

Streets are large, diverse, and used for conflicting transport modalities as well as social and cultural activities. Proper planning is essential and requires data. Manually fabricating data that represent streets (street reconstruction) is error-prone and time consuming. Automatising street reconstruction is a challenge because of the diversity, size, and scale of the details (~ cm for cornerstone) required. The state-of-the-art focuses on roads and is strongly oriented by each application (simulation, visualisation, planning). We propose a unified framework that works on real Geographic Information System (GIS) data and uses a strong, yet simple hypothesis when possible to produce coherent street modelling at the city scale or street scale. Because it is updated only locally in subsequent computing, the result can be improved by adapting input data and the parameters of the model. We reconstruct the entire Paris streets in a few minutes and show how the results can be edited simultaneously by several concurrent users.

Sign in / Sign up

Export Citation Format

Share Document