This document discusses using a GIS-based system to manage fiber optic networks for utilities. It outlines business drivers for such a system, including tracking high volumes of telecom assets and common issues with current methods. An ideal solution would use Esri ArcGIS for core mapping integrated with Schneider Electric's Fiber Manager to track connectivity and assets. Additional functionality discussed includes tracking logical provisioning to the circuit level and an online interface. Benefits cited include improved network planning, reduced outage times, and enhanced reporting.
The document provides an update on projects within the Earth Science Data and Information System (ESDIS). Recent progress includes the delivery of version 8.1 of the ECS software, which consolidated databases and improved data access capabilities. The ECHO search tool was replaced with Reverb, improving query times. The Worldview visualization tool now supports over 50 global satellite imagery products. The Coherent Web project consolidated various NASA websites and added new features like labs and metrics viewers. Phase 1 of the Universal Registration System will transition user authentication for some EOSDIS tools. Overall metrics show continued growth in archive size, data distribution, and user activity on EOSDIS systems.
InfoWorks CS is a comprehensive software for modeling urban wastewater and drainage networks. It allows users to import network data from other modeling programs, perform hydraulic simulations, and assess scenarios. Key features include its stable dynamic wave routing engine, tools for surface runoff modeling, infiltration analysis, and real-time control of pumps. The software also has robust data management and provides excellent visualization of results.
Improving video rating performance – focusing on user & interfaceBen Melbourne
The document discusses improving the performance of video-based road assessment ratings by focusing on the user interface. The original Excel-based system for rating videos of road conditions had issues like data errors, lack of task organization, and inefficient data management between multiple raters. A new system called Raven was developed with a more usable interface that addressed these issues through features like centralized data, predefined input options, and clear task status indicators. Users of Raven showed improved quality, confidence and higher output compared to the original Excel system. Further enhancements were discussed but Raven has been successfully used to rate over 100,000 km of roads in Queensland, Australia.
The document discusses the Utah Automated Geographic Reference Center's (AGRC) efforts to reorganize around geospatial web services. It outlines AGRC's mission to facilitate effective geospatial data use in Utah. AGRC manages the State Geographic Information Database (SGID) and provides web and mapping services. It has transitioned from an exploration phase to focus on developing reusable component services and business solutions using its geospatial data and ArcGIS Server.
This document summarizes the results of a benchmark test comparing the performance of GeoServer and MapServer web map server (WMS) implementations against different data backends and workloads. Key findings include that GeoServer was generally faster than MapServer at reading shapefiles and rendering plain polygons. Performance was similar between the two when using PostGIS and Oracle spatial backends. MapServer showed improved performance for labelled roads rendering compared to previous tests. Areas for potential improvement in future tests are also discussed.
This document discusses using a GIS-based system to manage fiber optic networks for utilities. It outlines business drivers for such a system, including tracking high volumes of telecom assets and common issues with current methods. An ideal solution would use Esri ArcGIS for core mapping integrated with Schneider Electric's Fiber Manager to track connectivity and assets. Additional functionality discussed includes tracking logical provisioning to the circuit level and an online interface. Benefits cited include improved network planning, reduced outage times, and enhanced reporting.
The document provides an update on projects within the Earth Science Data and Information System (ESDIS). Recent progress includes the delivery of version 8.1 of the ECS software, which consolidated databases and improved data access capabilities. The ECHO search tool was replaced with Reverb, improving query times. The Worldview visualization tool now supports over 50 global satellite imagery products. The Coherent Web project consolidated various NASA websites and added new features like labs and metrics viewers. Phase 1 of the Universal Registration System will transition user authentication for some EOSDIS tools. Overall metrics show continued growth in archive size, data distribution, and user activity on EOSDIS systems.
InfoWorks CS is a comprehensive software for modeling urban wastewater and drainage networks. It allows users to import network data from other modeling programs, perform hydraulic simulations, and assess scenarios. Key features include its stable dynamic wave routing engine, tools for surface runoff modeling, infiltration analysis, and real-time control of pumps. The software also has robust data management and provides excellent visualization of results.
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The document discusses improving the performance of video-based road assessment ratings by focusing on the user interface. The original Excel-based system for rating videos of road conditions had issues like data errors, lack of task organization, and inefficient data management between multiple raters. A new system called Raven was developed with a more usable interface that addressed these issues through features like centralized data, predefined input options, and clear task status indicators. Users of Raven showed improved quality, confidence and higher output compared to the original Excel system. Further enhancements were discussed but Raven has been successfully used to rate over 100,000 km of roads in Queensland, Australia.
The document discusses the Utah Automated Geographic Reference Center's (AGRC) efforts to reorganize around geospatial web services. It outlines AGRC's mission to facilitate effective geospatial data use in Utah. AGRC manages the State Geographic Information Database (SGID) and provides web and mapping services. It has transitioned from an exploration phase to focus on developing reusable component services and business solutions using its geospatial data and ArcGIS Server.
This document summarizes the results of a benchmark test comparing the performance of GeoServer and MapServer web map server (WMS) implementations against different data backends and workloads. Key findings include that GeoServer was generally faster than MapServer at reading shapefiles and rendering plain polygons. Performance was similar between the two when using PostGIS and Oracle spatial backends. MapServer showed improved performance for labelled roads rendering compared to previous tests. Areas for potential improvement in future tests are also discussed.
Load testing of HELIDEM geo-portal: an OGC open standards interoperability ex...Massimiliano Cannata
This paper presents a load testing of the HELIDEM geo-portal, which is an example of interoperability between a numbers of standard geospatial services as defined by the Open Geospatial Consortium. The portal was developed within the European project HELIDEM (www.helidem.eu) with the aim of valorizing the main project output which is a cross-border digital terrain model. The portal aims at fostering its diffusion and usage trough easily accessible tools. The DTM covers the alpine area located between Southern Switzerland (Canton Ticino) and Northern Italy (Lombardy and Piedmont Regions). From a technological point of view, the server-side component of the portal is based on a Service Oriented Architecture implemented using the open source software Zoo-Project, GRASS GIS and Geoserver; the client-side component is a Web interface based on CSS3 and HTML5 trough the usage of the ExtJS framework and the OpenLayers software. The presented solution is a mix of technologies and software, some of which are considered, within the open source for geospatial community, mature and robust while others are considered promising but not sufficiently tested yet. For this reason this research conducted a load test over concurrent users in order to verify the robustness, quality and performance of the system and to identify eventual bottlenecks. Test results didn’t register any exception confirming the good quality of the implemented system and underlying software. Nevertheless, performance and response time exponentially degrades with increasing number of concurrent users, area of analysis and process complexity. Finally, the test confirms that system is robust, in fact no system failure was recorded during the analysis.
The document discusses the design of a relational database system called the Supersite Relational Data System (SRDS) that would integrate air quality monitoring data from multiple Supersite projects and auxiliary datasets for cross-site analysis. It proposes using a star schema with dimensions for time, location, parameter, and method to facilitate querying and comparisons across different monitoring sites and projects. The schema would be extended as needed based on user requirements and consensus-building within the Supersite working groups.
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The document describes several case studies of using FME for spatial data processing and management tasks:
1) The Iowa Department of Transportation uses FME to ingest and publish snow plow data from vehicle trackers and dashcams for public viewing to improve winter driving safety.
2) A Spanish region uses FME to convert and publish spatial data on GitHub for open collaboration.
3) A water authority in Belgium created a comprehensive waterways data quality assurance process using FME and a Django interface to validate and manage results.
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An increasing number of popular applications become data-intensive in nature. In the past decade, the World Wide Web has been adopted as an ideal platform for developing data-intensive applications, since the communication paradigm of the Web is sufficiently open and powerful. Data-intensive applications like data mining and web indexing need to access ever-expanding data sets ranging from a few gigabytes to several terabytes or even petabytes. Google leverages the MapReduce model to process approximately twenty petabytes of data per day in a parallel fashion. In this talk, we introduce the Google’s MapReduce framework for processing huge datasets on large clusters. We first outline the motivations of the MapReduce framework. Then, we describe the dataflow of MapReduce. Next, we show a couple of example applications of MapReduce. Finally, we present our research project on the Hadoop Distributed File System.
The current Hadoop implementation assumes that computing nodes in a cluster are homogeneous in nature. Data locality has not been taken into
account for launching speculative map tasks, because it is
assumed that most maps are data-local. Unfortunately, both
the homogeneity and data locality assumptions are not satisfied
in virtualized data centers. We show that ignoring the datalocality issue in heterogeneous environments can noticeably
reduce the MapReduce performance. In this paper, we address
the problem of how to place data across nodes in a way that
each node has a balanced data processing load. Given a dataintensive application running on a Hadoop MapReduce cluster,
our data placement scheme adaptively balances the amount of
data stored in each node to achieve improved data-processing
performance. Experimental results on two real data-intensive
applications show that our data placement strategy can always
improve the MapReduce performance by rebalancing data
across nodes before performing a data-intensive application
in a heterogeneous Hadoop cluster.
The document reports on benchmark tests that were conducted on different WMS servers like GeoServer and MapServer using various data backends like shapefiles, PostGIS, Oracle Spatial, and SDE. It discusses the methodology, hardware used, datasets, and results of the tests on plain polygon rendering, roads mapping, and raster data access. Improvements were made to both GeoServer and MapServer after issues were discovered, and suggestions are provided for expanding the tests in the future.
Improving Weather Information Data Services with FMESafe Software
Iowa Department of Transportation needed to modernize their WeatherView web application which provides weather data to the public. This data comes from both AWOS (Automated Weather Observation System) and RWIS (Roadway Weather Information System) data feeds. The existing WeatherView application used a combination of direct database and REST services. Iowa DOT has moved to an open data model for their geospatial data and wanted to revamp the AWOS and RWIS REST services to provide more data to the public and to be leveraged in multiple applications/solutions.
I leveraged FME due to the complexity of processing the data. The data sources included JSON feeds, database views and an FTP folder. I needed to leverage startup Python Scripts for moving RWIS images between two FTP folders. The Maintenance Office wanted to add a ‘Spatial Buddy Check’ for several sensors on the RWIS data feed to exclude outlier values. Finally, Iowa DOT leverages ArcGIS Online Feature Collections for high availability data feeds. This requires a custom shutdown Python script to update Feature Collections after the AGOL Feature Service is updated.
This presentation will cover the different methods used to modernize the AWOS and RWIS weather data feeds so they could be leveraged by the public and in other geospatial solutions.
WeatherView URL: weatherview.iowadot.gov
The document outlines methods for automating the extraction of watershed characteristics from raster datasets to be used for regional environmental modeling. It describes developing custom ArcGIS tools to calculate descriptive statistics for multiple raster layers across thousands of watersheds in a batch process, avoiding manual and error-prone operations. A case study demonstrates extracting characteristics from 1 to 13 raster datasets representing topography, climate, soil, and land use across 1,466 watersheds. The automated process is estimated to save at least 95% of the labor time compared to manual methods. The tools make regional environmental studies more efficient.
This document discusses using an enhanced Web Map Service (WMS) to visualize four-dimensional environmental data on the web. It describes the Godiva2 system, which allows interactive exploration of geospatial raster datasets through a web interface. Godiva2 enhances the standard WMS by adding extra metadata and visualization methods for scientific data like time series plots. It provides a way to visualize large and complex environmental modeling outputs.
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Watershed development and drainage assessmentsAndrew Harrison
This document summarizes how GIS data and software can be used to accurately assess drainage districts and generate watersheds. Key details include generating watersheds from contour, parcel and soils data layers, accounting for sinks and peaks in elevation data, attributing computer-generated watersheds to match existing administrative boundaries, and using tools like ArcGIS and Draincalc to calculate equitable assessments for individual parcels based on watershed membership and overlay analysis. The process allows non-GIS users like local government officials to benefit from automated watershed and assessment generation to improve efficiency and accuracy over previous hand-drawn methods.
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Cisco's Unified Fabric provides an integrated networking solution optimized for big data infrastructures using Hadoop. The document describes Cisco's testing of the Unified Fabric using a Hadoop cluster of 128 and 16 nodes running Yahoo's Terasort benchmark on 1TB of data. It found that the Unified Fabric can support the network traffic patterns of Hadoop workloads while efficiently utilizing buffering to absorb bursts of traffic during shuffle and replication phases.
The document describes the design of a mobile satellite communication station. The station will allow a university's satellite lab to communicate with satellites from different locations as they move, increasing contact time. It will include a motorized 2.4m S-band antenna, software defined radio, and auto-calibration system to account for the vehicle's movement. The goal is to design a highly mobile station that can operate satellites, record passes, and accommodate multiple satellites simultaneously.
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Use FME To Efficiently Create National-Scale Vector Contours From High-Resolu...Safe Software
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2016 workshops: understanding the language of gis and cad by warren geisslerGIS in the Rockies
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This paper presents a load testing of the HELIDEM geo-portal, which is an example of interoperability between a numbers of standard geospatial services as defined by the Open Geospatial Consortium. The portal was developed within the European project HELIDEM (www.helidem.eu) with the aim of valorizing the main project output which is a cross-border digital terrain model. The portal aims at fostering its diffusion and usage trough easily accessible tools. The DTM covers the alpine area located between Southern Switzerland (Canton Ticino) and Northern Italy (Lombardy and Piedmont Regions). From a technological point of view, the server-side component of the portal is based on a Service Oriented Architecture implemented using the open source software Zoo-Project, GRASS GIS and Geoserver; the client-side component is a Web interface based on CSS3 and HTML5 trough the usage of the ExtJS framework and the OpenLayers software. The presented solution is a mix of technologies and software, some of which are considered, within the open source for geospatial community, mature and robust while others are considered promising but not sufficiently tested yet. For this reason this research conducted a load test over concurrent users in order to verify the robustness, quality and performance of the system and to identify eventual bottlenecks. Test results didn’t register any exception confirming the good quality of the implemented system and underlying software. Nevertheless, performance and response time exponentially degrades with increasing number of concurrent users, area of analysis and process complexity. Finally, the test confirms that system is robust, in fact no system failure was recorded during the analysis.
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An increasing number of popular applications become data-intensive in nature. In the past decade, the World Wide Web has been adopted as an ideal platform for developing data-intensive applications, since the communication paradigm of the Web is sufficiently open and powerful. Data-intensive applications like data mining and web indexing need to access ever-expanding data sets ranging from a few gigabytes to several terabytes or even petabytes. Google leverages the MapReduce model to process approximately twenty petabytes of data per day in a parallel fashion. In this talk, we introduce the Google’s MapReduce framework for processing huge datasets on large clusters. We first outline the motivations of the MapReduce framework. Then, we describe the dataflow of MapReduce. Next, we show a couple of example applications of MapReduce. Finally, we present our research project on the Hadoop Distributed File System.
The current Hadoop implementation assumes that computing nodes in a cluster are homogeneous in nature. Data locality has not been taken into
account for launching speculative map tasks, because it is
assumed that most maps are data-local. Unfortunately, both
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each node has a balanced data processing load. Given a dataintensive application running on a Hadoop MapReduce cluster,
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KALYAN MATKA | MATKA RESULT | KALYAN MATKA TIPS | SATTA MATKA | MATKA.COM | MATKA PANA JODI TODAY | BATTA SATKA | MATKA PATTI JODI NUMBER | MATKA RESULTS | MATKA CHART | MATKA JODI | SATTA COM | FULL RATE GAME | MATKA GAME | MATKA WAPKA | ALL MATKA RESULT LIVE ONLINE | MATKA RESULT | KALYAN MATKA RESULT | DPBOSS MATKA 143 | MAIN MATKA
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Conference - USGS cyber demo of Streamstats
1. StreamStats Update and Demo—Please
Stand By
Conference line: dial 1-210-839-8503,
PASSCODE: 24126
Please put your phone on mute
If you don’t have a mute button, use *6 to toggle
mute on/off
Please don’t put your phone on hold (no tunes,
please…)
Familiarize yourself with the interface buttons
while you wait for us to start
2. U.S. Department of the Interior
U.S. Geological Survey
Idaho District
(208) 387-1323
ahrea@usgs.gov
StreamStats Progress Report
July 1, 2003
Al Rea, Jacque Coles, Kernell Ries,
Pete Steeves
3. Background
Massachusetts application
Available internally Jan. 1999
Available to public Jan. 2001
Numerous presentations given
Based on ArcView/ArcViewIMS/Java
National StreamStats funding
FY2001, $160,000
FY2002, $200,000
FY2003, $200,000, including $50,000 added recently
by Bob Hirsch
Idaho StreamStats FY2002—3, $75,000
4. Development Team
Jacque Coles (Site administrator, ArcIMS
specialist)
Al Rea (GIS specialist)
Kernell Ries (hydrologist, coordinator)
Peter Steeves (GIS specialist)
5. Hardware Purchased
Dell Poweredge server with dual 1.0 Ghz
processors and 216 Gb storage for ArcGIS and
ArcSDE
Dell Poweredge single CPU server for ArcIMS
SnapServer 300 Gb data storage module
Servers placed in ID District
TOTAL COST ~ $13,000
6. Software
ESRI ArcGIS
ESRI ArcIMS
ESRI ArcSDE
MS SQL Server 2000
MS Visual Studio 6.0 Professional
7. StreamStats—Accomplishments:
Completed StreamStatsDB statistics database
MS Access database with user-friendly GUI
Contains published descriptive information,
basin characteristics, and streamflow statistics
Replacement for the Basin Characteristics File
Data to be entered by Districts
When populated, will facilitate large regional
studies
Plan to add sediment characteristics
Developed by Aqua Terra Consultants
8. StreamStats—Accomplishments:
Enhanced National Flood Frequency (NFF)
software to serve as equation-solving engine for
StreamStats
Added ability to solve low-flow as well as high-flow
equations
Added weighting technique for ungaged sites
Added region-of-influence analysis
Added prediction intervals
TOTAL COST (StreamStatsDB and NFF) ~ $102,500
9. StreamStats—Accomplishments:
Added measurement of basin characteristics to
ArcHydro
“Desktop Tool” working in ArcMap 8.2/8.3
Basin characteristics needed for Idaho (except MCS)
Basin area
Mean elevation
Relief
Mean slope
Percent of basin area >= 30 % slope
Percent of basin area >= 30 % slope and North-facing
Mean annual Precipitation
Percent Forested area
10. StreamStats—Accomplishments:
Database development—Idaho
ArcHydro data for Salmon and Clearwater River
basins, 18 HUCs
Partial processing completed for remaining 120
HUCs
Base map material for Web site completed, covering
all Idaho plus large margin
11. StreamStats—Accomplishments:
Prototype Web-Based Application for ID
User interface mostly complete
Base maps complete for ID
Basic watershed delineation
Basin characteristics computation
Interfaces with NFF to solve equations
Download watershed shapefile with attributes
Print maps shown in map frame
ESRI contract, partly done through CRADA
12. StreamStats—To be done:
Testing, Testing, Testing
Load testing
Will multiple users crash it?
Are time-out errors acceptable?
Fix a few minor bugs
Add monthly flow exceedance estimates
13. StreamStats—To be done:
To take web site public we must first:
Write data-set documentation (metadata)
Write general documentation, tutorials, caveats and
disclaimers
Continue verification that results are comparable to those
used for development of regression equations
Complete ArcHydro data development for remainder of
Idaho
Initially exclude monthly flow exceedance computations
requiring main channel slope
Display gage statistics database
14. StreamStats—Future Developments:
Phase 2 Plans for Q4 FY 2003
Make several improvements to the user interface
Allow user edits to watershed polygon
Better integration with NFF, improved reporting of results
Display stream-gage data from StreamStatsDB
Assess multi-user performance issues—find bottlenecks
Start on multi-state issues, implementation docs
If possible, begin serving parts of New England pilot (NH,
VT, MA)
15. StreamStats—Future Developments:
Phase 3 Plans for FY2004 (subject to change)
Multistate issues—scaling and implementation
Address performance issues—especially in multiuser
environment
Add computation of Main Channel Slope
Extending channel to divide was manual process for Idaho
ESRI implementing automated process in ArcHydro
Extensive testing needed
Batch delineation (desktop tool only)
Channel elevation profile artifact removal
Drainage-area ratio method with nearby gages
Tie to National Hydrography Dataset (NHD)
16. Implementation Plan
District offices will complete required work,
usually through cooperative funding
StreamStats team will provide guidance and
support to Districts
Everything will be served from StreamStats
servers in Idaho
States will be put on line internally to check
results
States will be made available to the public when
results have been proven acceptable
17. District Responsibilities
Provide regression equations
Populate the streamflow statistics database
Develop the necessary GIS data sets
Test the application and summarize results
Potentially develop new regression equations,
using GIS data to measure basin characteristics
Approve use of equations on Web
18. District Responsibilities—What will it
take?
Building ArcHydro data sets from EDNA
(experienced GIS expert)
~30 min per 8-digit HUC interactive processing
1—2 weeks building global and regional data sets
+ 1 week learning curve for learning to do
networks in GeoDatabase
Note: (ID and OR districts have people with
experience, consider farming this out)
19. District Responsibilities—What will it
take? (cont.)
~2 weeks per state to prepare DRGs
~1 week per state to append/prepare NHD
Optional “New England Method” Enhanced DEM
processing, 3-6 hrs interactive work per HUC plus
(typically overnight) CPU time
Multiply GIS total by ~2X for general data
management
Multiply GIS total by ~2X—5X for less experienced
GIS staff (AML and Grid experience very desirable)
Very fast PC essential for processing
20. District Responsibilities—What will it
take? (cont.)
Hardware
Server and disk space<= $5K (to be centrally
administered)
Hardware maintenance plus replacement every 3 yrs
~$2K/yr
External USB 2 Hard Drive ~$400 (will return to
district)
Software licensing and site support
Assume OSW will continue to fund this
Potential future (shared) costs if OSW funding lost
21. Why can’t districts run their own
StreamStats site?
StreamStats is a very complex application with all the
following working together:
ArcGIS with ArcHydro Tools
ArcSDE
SQL Server
ArcIMS
IIS
ASP
Tomcat
Javascript and HTML
22. Why can’t districts run their own
StreamStats site? (cont.)
Minimum Hardware & Software costs ~ $20,000
ArcIMS and IIS security, firewall concerns
Need at least two dedicated servers, isolated
from district LAN, high bandwidth WAN
connection
StreamStats team = 4 part-time staff (<2 FTE)
Next 1-2 years, we will support 1 installation in
Idaho serving multiple states
Longer term probably regional installations
make sense
23. Summary
StreamStats uses cutting-edge technology to put
stream information in the hands of users
Based on the ArcHydro Data Model and Tools
Design is flexible and expandable
States will need to develop funding to implement
Full implementation will likely take several years
24. More information
National StreamStats web page
http://water.usgs.gov/osw/programs/
streamstats.html
Massachusetts StreamStats web page
http://ststdmamrl.er.usgs.gov/streamstats/
NFF Program web page
http://water.usgs.gov/software/nff.html
Editor's Notes
Objective is to develop application that will use Internet Map Server capabilities and ArcHydro tools applied to digital elevation models and flow regression equations to estimate online the flow statistics at ungaged sites. As part of that process, basin characteristics needed for the regressions are calculated and these characteristics have other value.
CRADA with ESRI and direct contracts have supported the application programming by ESRI. Al, Kernell Ries, and Pete Steves development of the requirements. Al oversees data processing for central Idaho and application against requirements. Jacque administers the IMS server and Al and Jacque test the application for reliability and efficiency, including accessing the databases.
Characteristics that are needed will vary by state.
Base map material so watershed is displayed on topography to facilitate checking and improve display and expand uses.
This is a NEW application; not a revision of old Massachusetts online application. Massachusetts application was hard programmed for the area and wasn’t portable. The intent is to design it so it can be used by all Districts.
Right now the regressions are calculated one at a time, so there is a queue of requests when there are multiple users.
Not that slow for an individual; we want to test multiple users to see how speed will be.
The application development (programming by ESRI; requirements, data interface, system operation by USGS) used central Idaho because the Idaho Department of Transportation and the US Forest Service provided funding.