Cloud computing in itself is not sufficient be provided GIS as an on-line service at low cost to organizations ranging from individuals to thousands of users. "Multi-tenancy" is a technology that allows cloud computing resources to be shared amongst multiple organizations so as to offer full-function GIS on-line at low cost to organizations ranging from individuals to thousands of users. This presentation will cover: 1. How multi-tenancy works, and how it differs from hosting existing web/server GIS in the cloud. How it makes it possible to (1) Provide at a low cost GIS functionality equivalent to desktop GIS to organizations of scales ranging from individuals to thousands of people; and (2) Make GIS solutions instantly available "on demand" to new adopters. 2. This will have a critical business impact of this technology on GIS by dramatically lowering cost, reducing start-up time, and increasing flexibility compared with traditional GIS and with simpler cloud hosting approaches. 3. A working multi-tenant cloud-based GIS can be demonstrated, from creation of a service for a new organization, through loading data and adding users, to GIS use. Experience of deploying this technology shows new types of users starting with GIS as a Service, with high expectations of ease of use and of an instantly availability.
{"title":"A multi-tenant cloud-based full-function GIS","authors":"Eamon Walsh","doi":"10.1145/1999320.1999385","DOIUrl":"https://doi.org/10.1145/1999320.1999385","url":null,"abstract":"Cloud computing in itself is not sufficient be provided GIS as an on-line service at low cost to organizations ranging from individuals to thousands of users. \"Multi-tenancy\" is a technology that allows cloud computing resources to be shared amongst multiple organizations so as to offer full-function GIS on-line at low cost to organizations ranging from individuals to thousands of users. This presentation will cover:\u0000 1. How multi-tenancy works, and how it differs from hosting existing web/server GIS in the cloud. How it makes it possible to (1) Provide at a low cost GIS functionality equivalent to desktop GIS to organizations of scales ranging from individuals to thousands of people; and (2) Make GIS solutions instantly available \"on demand\" to new adopters.\u0000 2. This will have a critical business impact of this technology on GIS by dramatically lowering cost, reducing start-up time, and increasing flexibility compared with traditional GIS and with simpler cloud hosting approaches.\u0000 3. A working multi-tenant cloud-based GIS can be demonstrated, from creation of a service for a new organization, through loading data and adding users, to GIS use. Experience of deploying this technology shows new types of users starting with GIS as a Service, with high expectations of ease of use and of an instantly availability.","PeriodicalId":400763,"journal":{"name":"International Conference and Exhibition on Computing for Geospatial Research & Application","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129564765","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
While many programming languages excel in their ability to execute commands quickly, others embody a greater focus on programmer productivity and clear syntax. In ESRI's GIS software package ArcGIS, Python is now the choice language for many GIS Analysts as an alternative to the more complex ArcObjects library. ArcObjects is written in C#, Visual Basic, Java, or C++, all more difficult languages to learn than Python, but also much faster. In modern web mapping, ArcGIS Python scripts are now making their way onto the server, sometimes at the expense of application performance and stability. I have explored the idea of code performance vs. programmer productivity in the context of ArcGIS Server by writing several web-based geoprocessing services in both Python and C# ArcObjects. The goal was to identify the classes of tools which are best developed using one technology or the other, either based on performance or ease of development. From the outset, I made the assumption that under equal circumstances, it is easier to develop a service in Python, but that C# will always execute faster. The different geoprocessing services were divided into three categories: raster-based, vector-based, and server utilities. The services had different inputs and outputs ranging from text to polygons to zip files. Multi-Mechanize web performance and load testing framework was used to automate requests and make testing repeatable. Multi-Mechanize is an open source testing framework written in python which assisted in replaying requests, logging responses, and compiling statistics. Using this framework, I was able to make an assessment of the exact types of geoprocessing services which should be built using python, and which should be avoided.
{"title":"Performance vs. productivity in the context of ArcGIS server 10","authors":"B. Collins","doi":"10.1145/1999320.1999377","DOIUrl":"https://doi.org/10.1145/1999320.1999377","url":null,"abstract":"While many programming languages excel in their ability to execute commands quickly, others embody a greater focus on programmer productivity and clear syntax. In ESRI's GIS software package ArcGIS, Python is now the choice language for many GIS Analysts as an alternative to the more complex ArcObjects library. ArcObjects is written in C#, Visual Basic, Java, or C++, all more difficult languages to learn than Python, but also much faster. In modern web mapping, ArcGIS Python scripts are now making their way onto the server, sometimes at the expense of application performance and stability. I have explored the idea of code performance vs. programmer productivity in the context of ArcGIS Server by writing several web-based geoprocessing services in both Python and C# ArcObjects. The goal was to identify the classes of tools which are best developed using one technology or the other, either based on performance or ease of development. From the outset, I made the assumption that under equal circumstances, it is easier to develop a service in Python, but that C# will always execute faster. The different geoprocessing services were divided into three categories: raster-based, vector-based, and server utilities. The services had different inputs and outputs ranging from text to polygons to zip files. Multi-Mechanize web performance and load testing framework was used to automate requests and make testing repeatable. Multi-Mechanize is an open source testing framework written in python which assisted in replaying requests, logging responses, and compiling statistics. Using this framework, I was able to make an assessment of the exact types of geoprocessing services which should be built using python, and which should be avoided.","PeriodicalId":400763,"journal":{"name":"International Conference and Exhibition on Computing for Geospatial Research & Application","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124613926","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Penn State Public Broadcasting has produced the Geospatial Revolution Project, an integrated public media and outreach initiative about the world of digital mapping and how it is changing the way we think, behave and interact. With the goal of increasing public awareness of geospatial technologies, the project offers four 15-minute online mini-documentary episodes, 3-minute shorter chapters, as well as K-16 educational materials. The episodes share compelling human stories that clarify the complex and decode the mysterious, explain the virtues and explore the potential dangers of these emerging technologies. The Geospatial Revolution Project explores the seamless layers of satellites, surveillance, and location-based technologies creating a worldwide geographic knowledge base vital to solving myriad social and environmental problems in the interconnected global community. Faculty from the Dutton e-Education Institute at The Pennsylvania State University served on the project advisory board, and Frank Hardisty from the Institute will play a selection from one of the following episodes during the demo presentation: Episode One -- defining the geospatial revolution and its historical origins; includes a story on the Haitian earthquake Episode Two -- geospatial technology in interactive city and business management Episode Three -- mapping in war and peace, police protection, and personal privacy and safety Episode Four -- agriculture and the environment, mapping disease, and human rights and aid www.geospatialrevolution.psu.edu; twitter.com/geospatialrev; Facebook.com/geospatialrev
{"title":"The geospatial revolution project","authors":"F. Hardisty","doi":"10.1145/1999320.1999382","DOIUrl":"https://doi.org/10.1145/1999320.1999382","url":null,"abstract":"Penn State Public Broadcasting has produced the Geospatial Revolution Project, an integrated public media and outreach initiative about the world of digital mapping and how it is changing the way we think, behave and interact. With the goal of increasing public awareness of geospatial technologies, the project offers four 15-minute online mini-documentary episodes, 3-minute shorter chapters, as well as K-16 educational materials. The episodes share compelling human stories that clarify the complex and decode the mysterious, explain the virtues and explore the potential dangers of these emerging technologies. The Geospatial Revolution Project explores the seamless layers of satellites, surveillance, and location-based technologies creating a worldwide geographic knowledge base vital to solving myriad social and environmental problems in the interconnected global community. Faculty from the Dutton e-Education Institute at The Pennsylvania State University served on the project advisory board, and Frank Hardisty from the Institute will play a selection from one of the following episodes during the demo presentation:\u0000 <u>Episode One</u> -- defining the geospatial revolution and its historical origins; includes a story on the Haitian earthquake\u0000 <u>Episode Two</u> -- geospatial technology in interactive city and business management\u0000 <u>Episode Three</u> -- mapping in war and peace, police protection, and personal privacy and safety\u0000 <u>Episode Four</u> -- agriculture and the environment, mapping disease, and human rights and aid\u0000 www.geospatialrevolution.psu.edu; twitter.com/geospatialrev; Facebook.com/geospatialrev","PeriodicalId":400763,"journal":{"name":"International Conference and Exhibition on Computing for Geospatial Research & Application","volume":"300 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116325502","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sensors are a key enabler in the realization of an Internet of Things; they empower us to better understand the state of the world around us and to discover and glean information about objects and actions that drive that world. Many of the objects we associate with the Internet of Things are sensor-based systems, contain sensors as key components (e.g. buildings, vehicles, appliances, etc.), or require sensors in order to be discovered and located. The measurements and information from those sensors are what provide much of the Internet of Things with meaningful data. RFID chips, QR codes, and other technologies facilitate tagging, identifying, and locating objects, but making the presence of these tagged objects and their associated information known to the broader world ultimately requires sensors such as RFID readers and mobile device cameras and standard mechanisms for describing and disseminating that information. Keeping the importance of sensors in mind, this presentation explores the applicability of the Open Geospatial Consortium (OGC) Sensor Web Enablement (SWE) standards to help build and drive the Internet of Things by standardizing the way in which sensors and sensor data are described, discovered, accessed, and controlled. SWE provides extensive support for describing the location of sensors and their observations, and this location information is a key aspect of data within the Internet of Things, allowing both human users and intelligent objects to know where they are, what they do, and what objects and data are available around them. This presentation describes how SWE-based sensor description and location information and the spatial relationships derived from that information can be applied in a variety of novel applications to facilitate an Internet of Things.
{"title":"Sensor web standards and the internet of things","authors":"S. Fairgrieve, Stefan Falke","doi":"10.1145/1999320.1999396","DOIUrl":"https://doi.org/10.1145/1999320.1999396","url":null,"abstract":"Sensors are a key enabler in the realization of an Internet of Things; they empower us to better understand the state of the world around us and to discover and glean information about objects and actions that drive that world. Many of the objects we associate with the Internet of Things are sensor-based systems, contain sensors as key components (e.g. buildings, vehicles, appliances, etc.), or require sensors in order to be discovered and located. The measurements and information from those sensors are what provide much of the Internet of Things with meaningful data. RFID chips, QR codes, and other technologies facilitate tagging, identifying, and locating objects, but making the presence of these tagged objects and their associated information known to the broader world ultimately requires sensors such as RFID readers and mobile device cameras and standard mechanisms for describing and disseminating that information. Keeping the importance of sensors in mind, this presentation explores the applicability of the Open Geospatial Consortium (OGC) Sensor Web Enablement (SWE) standards to help build and drive the Internet of Things by standardizing the way in which sensors and sensor data are described, discovered, accessed, and controlled. SWE provides extensive support for describing the location of sensors and their observations, and this location information is a key aspect of data within the Internet of Things, allowing both human users and intelligent objects to know where they are, what they do, and what objects and data are available around them. This presentation describes how SWE-based sensor description and location information and the spatial relationships derived from that information can be applied in a variety of novel applications to facilitate an Internet of Things.","PeriodicalId":400763,"journal":{"name":"International Conference and Exhibition on Computing for Geospatial Research & Application","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121914235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
R. Renner, Matt Moran, Zohra Hemani, Ellins Thomas, Harold Scott Pio, Alejandro Vargas
The availability of smart phones and the wide spread use of GIS consumer products on smart phones has given rise to a substantial expectation of GIS applications on mobile platforms. This talk examines three of the mobile operating systems (OS) and the GIS development options for those OSs. This talk details our experience with using Google's Android, Microsoft's Phone 7, and Apple's iOS for pervasive and mobile GIS application development. The comparisons of the development environment for the three main smart phone platforms is done by developing similar GIS visualization, data collection, and real-time reporting applications. The talk discusses the development choices for each platform, our choice of the development options for the applications, and the lessons learned from the application development. The talk outlines the pros and cons that were discovered for three mobile platforms for the applications that we developed and discusses the conclusions of the comparison.
{"title":"A comparison of mobile GIS development options on smart phone platforms","authors":"R. Renner, Matt Moran, Zohra Hemani, Ellins Thomas, Harold Scott Pio, Alejandro Vargas","doi":"10.1145/1999320.1999365","DOIUrl":"https://doi.org/10.1145/1999320.1999365","url":null,"abstract":"The availability of smart phones and the wide spread use of GIS consumer products on smart phones has given rise to a substantial expectation of GIS applications on mobile platforms. This talk examines three of the mobile operating systems (OS) and the GIS development options for those OSs. This talk details our experience with using Google's Android, Microsoft's Phone 7, and Apple's iOS for pervasive and mobile GIS application development. The comparisons of the development environment for the three main smart phone platforms is done by developing similar GIS visualization, data collection, and real-time reporting applications. The talk discusses the development choices for each platform, our choice of the development options for the applications, and the lessons learned from the application development. The talk outlines the pros and cons that were discovered for three mobile platforms for the applications that we developed and discusses the conclusions of the comparison.","PeriodicalId":400763,"journal":{"name":"International Conference and Exhibition on Computing for Geospatial Research & Application","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131366530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The current state of technology and its prevalence in all societies has created an era of amazing innovation and opportunity across the world. Specifically, three key transformational trends are coming together in a way that will significantly change our perspective of computing and how technology can be integrated into our lives. These trends are 1) the low-cost availability of near limitless resources, 2) ubiquitous availability of networks, devices, and I/O mechanisms, and 3) Natural "human" interfaces and experiences. This transformative combination will enable innovators to develop highly advanced solutions with very little investment, and will change the landscape of business and industry in ways that have never been predicted - much sooner than expected. This discussion will look into how these trends are progressing and how they are impacting key industries today.
{"title":"Technology trends and industry innovation","authors":"D. Kasun","doi":"10.1145/1999320.1999323","DOIUrl":"https://doi.org/10.1145/1999320.1999323","url":null,"abstract":"The current state of technology and its prevalence in all societies has created an era of amazing innovation and opportunity across the world. Specifically, three key transformational trends are coming together in a way that will significantly change our perspective of computing and how technology can be integrated into our lives. These trends are 1) the low-cost availability of near limitless resources, 2) ubiquitous availability of networks, devices, and I/O mechanisms, and 3) Natural \"human\" interfaces and experiences. This transformative combination will enable innovators to develop highly advanced solutions with very little investment, and will change the landscape of business and industry in ways that have never been predicted - much sooner than expected. This discussion will look into how these trends are progressing and how they are impacting key industries today.","PeriodicalId":400763,"journal":{"name":"International Conference and Exhibition on Computing for Geospatial Research & Application","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131476921","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper briefly describes the development of an ESRI ArcToolBox that leverages commercial-off-the-shelf (COTS) software for the semi-automated generation of Open Geospatial Consortium (OGC) CityGML standard level of detail one (LoD1) and two (LoD2) building models from high resolution imagery and digital elevation models (DEM) for use in blast analysis applications. The ArcToolBox consists of Overwatch Systems Feature Analyst (v4.2), ESRI ArcGIS (v9.2) ModelBuilder, and the Safe Software Feature Manipulation Engine (v2010). This work is part of an on-going project to improve the blast damage predictions and calculation of evacuation distances for explosions in urban environments through development of a fast-running, easy-to-use desktop tool that would combine updated correlation modeling for urban blast and fragmentation with improved semi-automated geometry modeling techniques.
{"title":"Development of an ESRI ArcToolBox for semi-automated building modeling from multipatch features","authors":"M. Watts, Elizah S. Dasari, S. Aliabadi","doi":"10.1145/1999320.1999366","DOIUrl":"https://doi.org/10.1145/1999320.1999366","url":null,"abstract":"This paper briefly describes the development of an ESRI ArcToolBox that leverages commercial-off-the-shelf (COTS) software for the semi-automated generation of Open Geospatial Consortium (OGC) CityGML standard level of detail one (LoD1) and two (LoD2) building models from high resolution imagery and digital elevation models (DEM) for use in blast analysis applications. The ArcToolBox consists of Overwatch Systems Feature Analyst (v4.2), ESRI ArcGIS (v9.2) ModelBuilder, and the Safe Software Feature Manipulation Engine (v2010). This work is part of an on-going project to improve the blast damage predictions and calculation of evacuation distances for explosions in urban environments through development of a fast-running, easy-to-use desktop tool that would combine updated correlation modeling for urban blast and fragmentation with improved semi-automated geometry modeling techniques.","PeriodicalId":400763,"journal":{"name":"International Conference and Exhibition on Computing for Geospatial Research & Application","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128885138","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In December of 2010 the Planetary Skin Institute announced the beta release of ALERTS -- Automated Land change Evaluation, Reporting and Tracking System. ALERTS is a decision support Evaluation, Reporting and Tracking system for near real-time global land use, land cover change, and disturbance detection and analysis. It provides global coverage of deforestation or other land change events and offers users a number of useful tools for identifying, characterizing and responding to disturbances. This public beta release of ALERTS was a direct result of the Planetary Skin Institutes' community swarming efforts with NASA, INPE, MINAM, Cisco, University of Minnesota, and Terrestrial Carbon Group. The team spent 12 months designing an immersive decision support environment to facilitate Planetary Skin Institute's mission for pioneering emerging R&D initiatives across sectors and disciplines for the monitoring and managing of scarce resources. Further by incorporating over 200 layers that span spatial and temporal land related themes ALERTS empowers the users to go beyond disturbance detections and assess and analyze projected transitional risk scenarios. During the session Mr. Stanley will discuss ALERTS and its capabilities.
{"title":"Planetary skin institute ALERTS: automated land change evaluation, reporting and tracking system","authors":"J. Stanley","doi":"10.1145/1999320.1999388","DOIUrl":"https://doi.org/10.1145/1999320.1999388","url":null,"abstract":"In December of 2010 the Planetary Skin Institute announced the beta release of ALERTS -- Automated Land change Evaluation, Reporting and Tracking System.\u0000 ALERTS is a decision support Evaluation, Reporting and Tracking system for near real-time global land use, land cover change, and disturbance detection and analysis. It provides global coverage of deforestation or other land change events and offers users a number of useful tools for identifying, characterizing and responding to disturbances.\u0000 This public beta release of ALERTS was a direct result of the Planetary Skin Institutes' community swarming efforts with NASA, INPE, MINAM, Cisco, University of Minnesota, and Terrestrial Carbon Group. The team spent 12 months designing an immersive decision support environment to facilitate Planetary Skin Institute's mission for pioneering emerging R&D initiatives across sectors and disciplines for the monitoring and managing of scarce resources.\u0000 Further by incorporating over 200 layers that span spatial and temporal land related themes ALERTS empowers the users to go beyond disturbance detections and assess and analyze projected transitional risk scenarios.\u0000 During the session Mr. Stanley will discuss ALERTS and its capabilities.","PeriodicalId":400763,"journal":{"name":"International Conference and Exhibition on Computing for Geospatial Research & Application","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123663699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Virginia Tech is in the process of integrating building floor plans into an enterprise GIS to improve campus planning and management. Although Virginia Tech has maintained separate mapping of interior and exterior features for many years, the completion of this project will mark the first time the campus has combined these in a unified viewing environment. By updating the format of the interior space mapping and placing it in a geospatial context, new modes of interaction, analysis, and visualization will be possible. Examples of ways the interior space GIS may be used include: space accounting and management, fixed asset and hazardous substance mapping, precise E-911 response and situational awareness, wayfinding and evacuation routing, visualization of campus populations by day and time, and links to other documentation stored in the digital plans library or work order management system. The interior space GIS will be a generalized depiction of interior spaces based on existing floor plans. As Building Information Model (BIM) files become available for newly constructed buildings, and interior space surveys improve the mapping of existing buildings, the accuracy of interior space GIS will improve.
{"title":"Interior space GIS: a foundation for campus-wide planning and management","authors":"P. Sforza, T. Dickerson, J. Shelton","doi":"10.1145/1999320.1999360","DOIUrl":"https://doi.org/10.1145/1999320.1999360","url":null,"abstract":"Virginia Tech is in the process of integrating building floor plans into an enterprise GIS to improve campus planning and management. Although Virginia Tech has maintained separate mapping of interior and exterior features for many years, the completion of this project will mark the first time the campus has combined these in a unified viewing environment. By updating the format of the interior space mapping and placing it in a geospatial context, new modes of interaction, analysis, and visualization will be possible. Examples of ways the interior space GIS may be used include: space accounting and management, fixed asset and hazardous substance mapping, precise E-911 response and situational awareness, wayfinding and evacuation routing, visualization of campus populations by day and time, and links to other documentation stored in the digital plans library or work order management system. The interior space GIS will be a generalized depiction of interior spaces based on existing floor plans. As Building Information Model (BIM) files become available for newly constructed buildings, and interior space surveys improve the mapping of existing buildings, the accuracy of interior space GIS will improve.","PeriodicalId":400763,"journal":{"name":"International Conference and Exhibition on Computing for Geospatial Research & Application","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117152363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
We have constructed a prototype Open Geospatial Consortium (OGC) standards-based Arctic Climatology Sensor Network Prototype (ACSNP) in response to recent developments in sensor technology and Internet Protocol Suite (TCP/IP) wireless communications in Barrow, Alaska for the National Science Foundation (NSF). The OGC standards enable increased, interoperability, scalability, and extensibility for geospatial information at reduced cost. Our approach for the prototype is to integrate established technologies to create near-real-time geographic information networks (GINs). We linked a variety of meteorological and image sensors to a wide area wireless network in Barrow, Alaska. The network is a TCP/IP-based 700 Mhz WipLL network consisting of a 16 kilometer diameter local cloud as well as more distant fixed and mobile Iridium Open Port Units, that allow for global connectivity, at other remote research stations and on polar class ice breakers. Sensors linked to these wireless networks transfer their data to the Department of Energy (DOE) building in Barrow. The building houses two automatically populated mirrored File Transfer Protocol (FTP) servers running Microsoft Server 2003 within a virtualized environment. The data are automatically harvested from the remote site over redundant 4 X T-1 satellite links to the central data center in Cincinnati, Ohio where it is formatted to comply with the OGC database initiatives to create an OGC-compliant geodatabase within Microsoft SQL Server 2008. The final web publication is the result of a three part system; geodatabases, web services and web applications. We use ESRI's ArcGIS Server technology for retrieval and publication utilizing ESRI's compliance with OGC web services. These web services may then be embedded within OGC compliant clients, such as ESRI's ArcGIS Desktop and Google Earth for analysis and web applications. The Arctic Climatology Sensor Network Prototype is accessible at OpenSensorMap.com.
我们为美国国家科学基金会(NSF)在阿拉斯加州巴罗建立了一个基于开放地理空间联盟(OGC)标准的北极气候传感器网络原型(ACSNP)，以响应传感器技术和互联网协议套件(TCP/IP)无线通信的最新发展。OGC标准以较低的成本提高了地理空间信息的互操作性、可伸缩性和可扩展性。我们对原型的方法是整合现有技术来创建近实时的地理信息网络(GINs)。我们将各种气象和图像传感器连接到阿拉斯加巴罗的广域无线网络上。该网络是一个基于TCP/ ip的700 Mhz WipLL网络，由直径16公里的本地云以及更远的固定和移动铱星开放端口单元组成，可以在其他远程研究站和极地级破冰船上实现全球连接。与这些无线网络相连的传感器将数据传输到位于巴罗的能源部大楼。该建筑包含两个自动填充的镜像文件传输协议(FTP)服务器，这些服务器在虚拟化环境中运行Microsoft Server 2003。数据通过冗余的4 X T-1卫星链接从远程站点自动收集到位于俄亥俄州辛辛那提的中央数据中心，在那里对数据进行格式化，以符合OGC数据库计划，从而在Microsoft SQL Server 2008中创建符合OGC标准的地理数据库。最终的网络发布是一个三部分系统的结果;地理数据库、web服务和web应用程序。我们使用ESRI的ArcGIS Server技术进行检索和发布，利用ESRI对OGC web服务的遵从性。这些web服务可以嵌入到OGC兼容的客户端中，例如ESRI的ArcGIS Desktop和谷歌Earth，用于分析和web应用程序。北极气候传感器网络原型可以在OpenSensorMap.com上访问。
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