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The Essentials for Life at
COGS
By Stephanie Debus & Mat Robson
Bit.ly/YourCOGSLife
Photo taken by Paul Illsley
● Purpose
● Why we chose this project
● Obtaining the data
● Network Analysis
● Creating a Web Map
● Using a JavaScript API
● Demonstration of the web application
Presentation Topics
Purpose & Objectives
● Improve future students’ access to rent information and useful
information about Annapolis Valley through a web application
○ Determine factors that influence decision-making process of
renting a place
○ Use Network Analysis to identify commute times from rental
locations to COGS
○ Create a GIS-based web application with the use of ArcGIS
Online API for JavaScript and ArcGIS Online’s web map
Why We Chose This Project
● After deciding to attend COGS
○ We were unaware of all the rental houses available
○ Did not know where/ how far away stores were
○ Did not know about activities/ sightseeing in
Annapolis Valley
○ Wanted to complete a project that would benefit
future students
What Future Students Need to Know
● Possible rental locations
○ Price, # of rooms, Distance, ect.
● Grocery stores/ shopping stores
● Restaurants/ bars
● Points of interest
● Banks
● NSLC
● Hairdressers
Data Provided
● Road network
● County data
○ Modified into a study area
polygon
● Both provided from Konrad’s Network
Analysis course
Data Collected
● Rental Information
● Businesses & POIs
● Trails (GPS data
collection)
Rental Information
● Survey from students
Rental Information
● Contacted landlords on Kijiji &
Places4Students
● Asked from them for the same information
that was on the survey
Points of Interests & Business Information
● Google Maps, Yellow Pages, Tourist Sites, & Company
sites were utilized
Points of Interests & Business Information
● Ran into errors with Google Maps data
○ i.e. Pearles
Points of Interests & Business Information
● To verify the location of all the points, Google’s street view was used
Organizing the Data into CSVs
● Each type of data was organized into its own spreadsheet
on Google Drive and then downloaded as a CSV
Trail data
● Could not locate features with
satellite imagery
● The Hippie houses, Saint Croix
Cove Falls, Roxbury, and the
trails to get to these locations
were not provided
● Used a Juno GPS to collect point
and line features
Trail Data - Planning
● Prior to collecting the data used GNSS
Planning website
○ More satellites are better and can improve accuracy
○ DOPs is a measure of the quality of GPS positions,
based on the geometry of the satellites (GPS
Pathfinder Software Help, 2009)
■ Lower DOP is better
Trail data - Planning
● Prior to collecting the data with the GPS we
checked the number of satellites & _____
GET IMAGES FROM SCHOOL
1
Trail data - Planning
● Prior to collecting the data with the GPS we
checked the number of satellites & _____
GET IMAGES FROM SCHOOL
2
Differential
Correction
● From COGS
Base
Station
GPS Data
● Line features
for the trail
were not as
precise as
originally hoped
● Had to alter the
vertices to
straighten the
trail
Transformations
● Our data was unprojected
● Juno collects data in WGS84
● Used the Transformation and projection tool
in ArcMap to transform the data into WGS
1984 Web Mercator (Auxiliary Sphere)
Meaningful Symbology
● Found company logos, edited them in both
Paint & Corel Paint X6, then uploaded them
into ArcMap
● Scale dependent symbology
Network Analysis
● Determine the walking & driving distance from each
rental unit to COGS
● Completed by:
○ Making assumptions of road types & speed limits
○ Using Google Earth to find exact speed limits for HWY 1
○ Add walking trails
○ Create a network dataset
○ Complete analysis
○ Update shapefile
Network Analysis
● Making assumptions of speed limits & walking speed
○ A particular road type has a corresponding average speed limit
○ According to an article in the Journal of Neurophysiology, the average
walking speed is about 5km/h
Roads Types and Speed Limits. (2015).
Retrieved May 12, 2015, from
http://canada.angloinfo.com/transport/driving/r
oads-speed-limit/
Cappellini, G. (2006). Motor Patterns in Human
Walking and Running. Journal of
Neurophysiology, 3426-3437. Retrieved May 12,
2015, from
http://jn.physiology.org/content/95/6/3426.short
Network Analysis
● Found exact speeds for highway 1 through Google Earth’s street view
○ It is the most heavily used road by students commuting to school and
to the surrounding amenities
Network Analysis
● Add walking trails
to the road
network
○ Through the
parking lot
behind COGS
○ Along the
train track trail
Network Analysis
● Created a network
dataset
○ Set parameters
■ Connectivity
policy
■ Fields needed
for directions
■ Imperial to
metric
Network Analysis
● Determining the
Distance and Time from
each rental house to
COGS
○ Created a New
Closest Facility
■ Set COGS as the
Facility
■ Set the Rental
Houses as the
Incident
Network Analysis
● Completed the
Network Analysis
○ Produced
directions for
each house
○ Took the total
time and
distance and
created a CSV
Network Analysis
● Joined the CSV to the
shapefile
● Completed twice, once
for driving and second
for walking
Create a Web Map
● Shared as Service
● Connected to the
COGS server
● Chose the Feature
Access Capability
Creating a Web Map
● Tiled Mapping VS Feature Access
Creating a Web Map
● Added a Summary,
Tags, & a Description
● Clicked Analyze and
resolved all errors
Setting Parameters in ArcGIS Online
● Created it so the icons would appear at
certain extents
○ Uploaded each layer twice, one for the zoomed in
symbology and another for the zoomed out
symbology
● Changed the settings so only the rental
houses can be edited by the public
DEMO!!
Setting Parameters in ArcGIS Online
● Allowed for each attribute in most layers to
be searchable
Using JavaScript API for Customization
● Need a webserver to host the API
(Application Programming Interface)
○ Could not find a free webserver
■ Google Drive allows for HTML and CSS files to
run, but not JavaScript files
■ Drop Box no longer makes public folders for free
accounts
■ Had to use a friends webserver from school, but
could be kicked off at anytime
Issues with JavaScript API
● Searchable layers not appearing
● Directions widget missing
○ ESRI disabled the directions widget for the public
○ Found directions on Google Maps from COGS to
Each point and added the link to the attribute table
DEMO!!
Conclusions
● Identified and investigated variables that were important
in the decision-making process of renting a place
● Determined commute times from possible rental
locations to COGS with Network Analysis
● Developed a web application that
○ presents an effective method to communicate rental
information and important amenities
○ uses ArcGIS Online API for JavaScript and ArcGIS
Online’s web map
Acknowledgements
● Dave MacLean, as our project supervisor, as well as for
his help while working on this project
● Kathleen Stewart for her patience, help and knowledge
of JavaScript
● Darren MacKinnon for his help and assistance with
using the Juno and getting the base station data
References
Annapolis Valley, Nova Scotia - Travel and Tourism Information - Directory. (2014). Retrieved May 12, 2015, from
http://www.valleytourism.ca/travel-directory.html
Atwell, B. (2014). The walking-hiking Trails in the Annapolis Valley, Nova Scotia. Retrieved May 12, 2015, from
http://www.annapolis-valley-vacation.com/walking-hiking.html
Cappellini, G. (2006). Motor Patterns in Human Walking and Running. Journal of Neurophysiology, 3426-3437.
Retrieved May 12, 2015, from http://jn.physiology.org/content/95/6/3426.short
Determining factors of what you look for when renting
http://www.savethestudent.org/accommodation/guide-viewing-student-accommodation.html
Dramowicz, K. (Director) (2015, March 12). Preparing Data for Building Network Dataset for Nova Scotia. Network
Analysis Course. Lecture conducted from, Lawrencetown NS.
References
Garcia, R. (2014, October 1). Roadway Design Manual: Ramps and Direct Connections. Retrieved May 12, 2015, from
http://onlinemanuals.txdot.gov/txdotmanuals/rdw/ramps_and_direct_connections.htm#i1026126
Roads Types and Speed Limits. (2015). Retrieved May 12, 2015, from
http://canada.angloinfo.com/transport/driving/roads-speed-limit/
The ultimate guide to viewing student houses. (2013, September 27). Retrieved May 4, 2015, from
http://www.savethestudent.org/accommodation/guide-viewing-student-accommodation.html
What are the ArcGIS Online network analysis services? (2015, March 25). Retrieved May 14, 2015, from
http://resources.arcgis.com/en/help/main/10.2/index.html#//0047000001v5000000
Questions?
Thank you!

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The essentials for life at cogs

  • 1. The Essentials for Life at COGS By Stephanie Debus & Mat Robson Bit.ly/YourCOGSLife Photo taken by Paul Illsley
  • 2. ● Purpose ● Why we chose this project ● Obtaining the data ● Network Analysis ● Creating a Web Map ● Using a JavaScript API ● Demonstration of the web application Presentation Topics
  • 3. Purpose & Objectives ● Improve future students’ access to rent information and useful information about Annapolis Valley through a web application ○ Determine factors that influence decision-making process of renting a place ○ Use Network Analysis to identify commute times from rental locations to COGS ○ Create a GIS-based web application with the use of ArcGIS Online API for JavaScript and ArcGIS Online’s web map
  • 4.
  • 5. Why We Chose This Project ● After deciding to attend COGS ○ We were unaware of all the rental houses available ○ Did not know where/ how far away stores were ○ Did not know about activities/ sightseeing in Annapolis Valley ○ Wanted to complete a project that would benefit future students
  • 6. What Future Students Need to Know ● Possible rental locations ○ Price, # of rooms, Distance, ect. ● Grocery stores/ shopping stores ● Restaurants/ bars ● Points of interest ● Banks ● NSLC ● Hairdressers
  • 7. Data Provided ● Road network ● County data ○ Modified into a study area polygon ● Both provided from Konrad’s Network Analysis course
  • 8. Data Collected ● Rental Information ● Businesses & POIs ● Trails (GPS data collection)
  • 10. Rental Information ● Contacted landlords on Kijiji & Places4Students ● Asked from them for the same information that was on the survey
  • 11. Points of Interests & Business Information ● Google Maps, Yellow Pages, Tourist Sites, & Company sites were utilized
  • 12. Points of Interests & Business Information ● Ran into errors with Google Maps data ○ i.e. Pearles
  • 13. Points of Interests & Business Information ● To verify the location of all the points, Google’s street view was used
  • 14. Organizing the Data into CSVs ● Each type of data was organized into its own spreadsheet on Google Drive and then downloaded as a CSV
  • 15. Trail data ● Could not locate features with satellite imagery ● The Hippie houses, Saint Croix Cove Falls, Roxbury, and the trails to get to these locations were not provided ● Used a Juno GPS to collect point and line features
  • 16. Trail Data - Planning ● Prior to collecting the data used GNSS Planning website ○ More satellites are better and can improve accuracy ○ DOPs is a measure of the quality of GPS positions, based on the geometry of the satellites (GPS Pathfinder Software Help, 2009) ■ Lower DOP is better
  • 17. Trail data - Planning ● Prior to collecting the data with the GPS we checked the number of satellites & _____ GET IMAGES FROM SCHOOL 1
  • 18. Trail data - Planning ● Prior to collecting the data with the GPS we checked the number of satellites & _____ GET IMAGES FROM SCHOOL 2
  • 20. GPS Data ● Line features for the trail were not as precise as originally hoped ● Had to alter the vertices to straighten the trail
  • 21. Transformations ● Our data was unprojected ● Juno collects data in WGS84 ● Used the Transformation and projection tool in ArcMap to transform the data into WGS 1984 Web Mercator (Auxiliary Sphere)
  • 22. Meaningful Symbology ● Found company logos, edited them in both Paint & Corel Paint X6, then uploaded them into ArcMap ● Scale dependent symbology
  • 23. Network Analysis ● Determine the walking & driving distance from each rental unit to COGS ● Completed by: ○ Making assumptions of road types & speed limits ○ Using Google Earth to find exact speed limits for HWY 1 ○ Add walking trails ○ Create a network dataset ○ Complete analysis ○ Update shapefile
  • 24. Network Analysis ● Making assumptions of speed limits & walking speed ○ A particular road type has a corresponding average speed limit ○ According to an article in the Journal of Neurophysiology, the average walking speed is about 5km/h Roads Types and Speed Limits. (2015). Retrieved May 12, 2015, from http://canada.angloinfo.com/transport/driving/r oads-speed-limit/ Cappellini, G. (2006). Motor Patterns in Human Walking and Running. Journal of Neurophysiology, 3426-3437. Retrieved May 12, 2015, from http://jn.physiology.org/content/95/6/3426.short
  • 25. Network Analysis ● Found exact speeds for highway 1 through Google Earth’s street view ○ It is the most heavily used road by students commuting to school and to the surrounding amenities
  • 26. Network Analysis ● Add walking trails to the road network ○ Through the parking lot behind COGS ○ Along the train track trail
  • 27. Network Analysis ● Created a network dataset ○ Set parameters ■ Connectivity policy ■ Fields needed for directions ■ Imperial to metric
  • 28. Network Analysis ● Determining the Distance and Time from each rental house to COGS ○ Created a New Closest Facility ■ Set COGS as the Facility ■ Set the Rental Houses as the Incident
  • 29. Network Analysis ● Completed the Network Analysis ○ Produced directions for each house ○ Took the total time and distance and created a CSV
  • 30. Network Analysis ● Joined the CSV to the shapefile ● Completed twice, once for driving and second for walking
  • 31. Create a Web Map ● Shared as Service ● Connected to the COGS server ● Chose the Feature Access Capability
  • 32. Creating a Web Map ● Tiled Mapping VS Feature Access
  • 33. Creating a Web Map ● Added a Summary, Tags, & a Description ● Clicked Analyze and resolved all errors
  • 34. Setting Parameters in ArcGIS Online ● Created it so the icons would appear at certain extents ○ Uploaded each layer twice, one for the zoomed in symbology and another for the zoomed out symbology ● Changed the settings so only the rental houses can be edited by the public DEMO!!
  • 35. Setting Parameters in ArcGIS Online ● Allowed for each attribute in most layers to be searchable
  • 36. Using JavaScript API for Customization ● Need a webserver to host the API (Application Programming Interface) ○ Could not find a free webserver ■ Google Drive allows for HTML and CSS files to run, but not JavaScript files ■ Drop Box no longer makes public folders for free accounts ■ Had to use a friends webserver from school, but could be kicked off at anytime
  • 37. Issues with JavaScript API ● Searchable layers not appearing ● Directions widget missing ○ ESRI disabled the directions widget for the public ○ Found directions on Google Maps from COGS to Each point and added the link to the attribute table DEMO!!
  • 38. Conclusions ● Identified and investigated variables that were important in the decision-making process of renting a place ● Determined commute times from possible rental locations to COGS with Network Analysis ● Developed a web application that ○ presents an effective method to communicate rental information and important amenities ○ uses ArcGIS Online API for JavaScript and ArcGIS Online’s web map
  • 39. Acknowledgements ● Dave MacLean, as our project supervisor, as well as for his help while working on this project ● Kathleen Stewart for her patience, help and knowledge of JavaScript ● Darren MacKinnon for his help and assistance with using the Juno and getting the base station data
  • 40. References Annapolis Valley, Nova Scotia - Travel and Tourism Information - Directory. (2014). Retrieved May 12, 2015, from http://www.valleytourism.ca/travel-directory.html Atwell, B. (2014). The walking-hiking Trails in the Annapolis Valley, Nova Scotia. Retrieved May 12, 2015, from http://www.annapolis-valley-vacation.com/walking-hiking.html Cappellini, G. (2006). Motor Patterns in Human Walking and Running. Journal of Neurophysiology, 3426-3437. Retrieved May 12, 2015, from http://jn.physiology.org/content/95/6/3426.short Determining factors of what you look for when renting http://www.savethestudent.org/accommodation/guide-viewing-student-accommodation.html Dramowicz, K. (Director) (2015, March 12). Preparing Data for Building Network Dataset for Nova Scotia. Network Analysis Course. Lecture conducted from, Lawrencetown NS.
  • 41. References Garcia, R. (2014, October 1). Roadway Design Manual: Ramps and Direct Connections. Retrieved May 12, 2015, from http://onlinemanuals.txdot.gov/txdotmanuals/rdw/ramps_and_direct_connections.htm#i1026126 Roads Types and Speed Limits. (2015). Retrieved May 12, 2015, from http://canada.angloinfo.com/transport/driving/roads-speed-limit/ The ultimate guide to viewing student houses. (2013, September 27). Retrieved May 4, 2015, from http://www.savethestudent.org/accommodation/guide-viewing-student-accommodation.html What are the ArcGIS Online network analysis services? (2015, March 25). Retrieved May 14, 2015, from http://resources.arcgis.com/en/help/main/10.2/index.html#//0047000001v5000000

Notas do Editor

  1. Steph
  2. We will be talking about issues and how we overcame them throughout the presentaiton Steph
  3. Steph
  4. Steph
  5. Steph
  6. Mat
  7. Mat
  8. Mat
  9. Mat
  10. Mat
  11. Mat
  12. Mat
  13. Used google drive instead of excel so both of us could update the data at the same time and/or do it from anywhere Each type of data had its own CSV so they could be created into their own layers. Mat
  14. Steph
  15. Steph
  16. Satellites for Sunday May 3rd (Roxbury). 11:30 to 3:30 The lowest number of satellites we had were 8 Monday’s Hippie House trail collection also had at least 8 satellites at all times Steph
  17. Steph
  18. Steph
  19. Steph
  20. • Ensures all the points and line features will line up properly and there won’t be any errors Steph
  21. Mat
  22. Mat
  23. Consulted online sources to determine what the average walking speed was Consulted online sources to determine general speeds for road class types Mat
  24. • Found the speed limits from the west side of Bridgetown to the outskirts of the east side of kingston Mat
  25. - Had two separate road networks, one for walking and one for driving - The walking road network had the trails on added to it where the driving one did not - Set the speed limits for all the roads and trails to 5km/h b/c peoples walking speed would not change according to the road - Issue: could not get the network anlaysis to get people to walk down the trail. Had not realized that when you add a road, you have to split up the road it connects to into two separate segments Mat
  26. Connectivity policy - set it to end points (the roads are connected by the end of the lines) other option is any vertex Steph
  27. Steph
  28. Steph
  29. Steph
  30. Could not create our web map under our own account, ESRI doesn’t allow free accounts to use this feature Logged into the AdvancedGIS2015 account Mat
  31. We used over 2,500 credits for tiling by mistake. When we uploaded our data as features storage only used 57. Mat
  32. Mat
  33. set visibility range allowed us to set different extents depending on the layer Steph
  34. Steph
  35. Decided to use JavaScript API instead of the templates provided on AGOL for further customization Chose to use JavaScript API so we could have the opportunity to learn JavaScript Mat
  36. After watching hours of tutorials and even more time reading through different sites, it turns out we just needed to download a newer version of the code for the JavaScript API for the search to work. Overall very little JavaScript programming was manually done by us, however we learned a great deal about it. Mat
  37. Steph
  38. Steph