Difference between revisions of "Accessibility Map"

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As a group, we will have challenges adapting to a new coding language (python) and adjusting our algorithm, GIS, to match our goals. Because we have never created a webpage, using an algorithm to make walking WashU's campus easier, will be hard to develop.
 
As a group, we will have challenges adapting to a new coding language (python) and adjusting our algorithm, GIS, to match our goals. Because we have never created a webpage, using an algorithm to make walking WashU's campus easier, will be hard to develop.
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We have had challenges using arcGIS as a tool and not as the whole project. Because we have been learning how to use many different new tools, we have become distracted from the goal of making an actual product.
  
  
 
=='Final Product Expectations ==
 
=='Final Product Expectations ==
  
* topological data for campus paths w/ different weights for different mobilities
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* export arcGIS nodes and lines of WashU's campus
* Shortest path from a to b for different mobilities
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* enter into shortest route google maps like program
* Final path exported as GIS waypoints
 
 
 
  
 
==Gantt Chart==
 
==Gantt Chart==

Revision as of 19:22, 23 March 2018

Team Members

Hannah Smith

Zahra Wright

Noah Kastelman

John Gibson (TA)

Description

We are creating an “Accessibility Map” program available to WashU students and visitors. This map will tell you the most efficient route to take while on the WashU campus. This will allow students or visitors to get different places as quickly as they can. It will also be able to tell you the best route if you are handicap by taking out the pathways that are not handicap accessible.

Components

Map

Paths, Buildings, Distances -we will be collecting data to input into our algorithm -this will include routes both handicapped accessible and not

Algorithm

Dijkstra's Algorithm - with inputed data distances, this will compute the shortest distance between a destination and current location

Display

Website ArcGIS - we want to display the fastest route using a website display.

Challenges

As a group, we will have challenges adapting to a new coding language (python) and adjusting our algorithm, GIS, to match our goals. Because we have never created a webpage, using an algorithm to make walking WashU's campus easier, will be hard to develop.

We have had challenges using arcGIS as a tool and not as the whole project. Because we have been learning how to use many different new tools, we have become distracted from the goal of making an actual product.


'Final Product Expectations

  • export arcGIS nodes and lines of WashU's campus
  • enter into shortest route google maps like program

Gantt Chart

Gantt chart.png


Link to weekly log