Difference between revisions of "Centroid-Amenities Project Details"
(23 intermediate revisions by 3 users not shown) | |||
Line 2: | Line 2: | ||
<!--Header--> | <!--Header--> | ||
{|style="background-color:#F5F5F5; color:#F6B419; padding: 10 0 10 0;" width="100%" cellspacing="0" cellpadding="0" valign="top" border="0" | | {|style="background-color:#F5F5F5; color:#F6B419; padding: 10 0 10 0;" width="100%" cellspacing="0" cellpadding="0" valign="top" border="0" | | ||
+ | | style="padding:0.2em; font-size:100%; background-color:#F5F5F5; border-right:1px solid #DDD; text-align:center; color:#5E2705; border-bottom:2px solid #DDD; " width="10%" | | ||
+ | [[Centroid-Amenities_Home|<font color="#5E2705" size=3 face="Helvetica">Home</font>]] | ||
| style="padding:0.2em; font-size:100%; background-color:#F5F5F5; border-right:1px solid #DDD; text-align:center; color:#5E2705; border-bottom:2px solid #B21C0E; " width="10%" | | | style="padding:0.2em; font-size:100%; background-color:#F5F5F5; border-right:1px solid #DDD; text-align:center; color:#5E2705; border-bottom:2px solid #B21C0E; " width="10%" | | ||
− | [[Centroid-Amenities_Project_Details|<font color="#5E2705" size=3 face=" | + | [[Centroid-Amenities_Project_Details|<font color="#5E2705" size=3 face="Helvetica">Proposal</font>]] |
| style="padding:0.2em; font-size:100%; background-color:#F5F5F5; border-right:1px solid #DDD; text-align:center; color:#5E2705; border-bottom:2px solid #DDD; " width="10%" | | | style="padding:0.2em; font-size:100%; background-color:#F5F5F5; border-right:1px solid #DDD; text-align:center; color:#5E2705; border-bottom:2px solid #DDD; " width="10%" | | ||
− | [[Centroid-Amenities_Project_Poster|<font color="#5E2705" size=3 face=" | + | [[Centroid-Amenities_Project_Poster|<font color="#5E2705" size=3 face="Helvetica">Poster</font>]] |
| style="padding:0.2em; font-size:100%; background-color:#F5F5F5; border-right:1px solid #DDD; text-align:center; color:#5E2705; border-bottom:2px solid #DDD; " width="10%" | | | style="padding:0.2em; font-size:100%; background-color:#F5F5F5; border-right:1px solid #DDD; text-align:center; color:#5E2705; border-bottom:2px solid #DDD; " width="10%" | | ||
− | [[Centroid-Amenities_Project_Application|<font color="#5E2705" size=3 face=" | + | [[Centroid-Amenities_Project_Application|<font color="#5E2705" size=3 face="Helvetica">Application</font>]] |
| style="padding:0.2em; font-size:100%; background-color:#F5F5F5; text-align:center; color:#5E2705; border-bottom:2px solid #DDD; " width="10%" | | | style="padding:0.2em; font-size:100%; background-color:#F5F5F5; text-align:center; color:#5E2705; border-bottom:2px solid #DDD; " width="10%" | | ||
− | [[Centroid-Amenities_Research_Paper|<font color="#5E2705" size=3 face=" | + | [[Centroid-Amenities_Research_Paper|<font color="#5E2705" size=3 face="Helvetica">Research Paper</font>]] |
|} | |} | ||
{|style="background-color:#F5F5F5; color:#F5F5F5; padding: 10 0 10 0; margin-bottom: 30px; border-bottom:1px solid #DDD; " width="100%" cellspacing="0" cellpadding="0" valign="top" border="0" | | {|style="background-color:#F5F5F5; color:#F5F5F5; padding: 10 0 10 0; margin-bottom: 30px; border-bottom:1px solid #DDD; " width="100%" cellspacing="0" cellpadding="0" valign="top" border="0" | | ||
Line 17: | Line 19: | ||
<!--End Header--> | <!--End Header--> | ||
__FORCETOC__ | __FORCETOC__ | ||
− | ==<div style="background: #F5F5F5; padding-top: 20px; padding-bottom: 20px; line-height: 0.3em; text-indent: 15px; font-size:20px; font-family: | + | ==<div style="background: #F5F5F5; padding-top: 20px; padding-bottom: 20px; line-height: 0.3em; text-indent: 15px; font-size:20px; font-family:Helvetica; border-bottom:2px solid #B21C0E;"><font color= #5E2705>Motivation and Problem Discovery</font></div>== |
− | + | As the Singaporean Government looks toward more data-driven approaches to urban planning, it becomes imperative to the cause that we use intelligent ways to determine where we place our built amenities and services, we best serve our citizens' needs. | |
− | + | Currently, there are no ready tools available that could help planners optimise the placement of amenities and services, to make them as accessible as possible to the citizens they serve. Furthermore, we do not have ready analysis tools to help planners assess how accessible the existing amenities and services are. | |
− | Our | + | ==<div style="background: #F5F5F5; padding-top: 20px; padding-bottom: 20px; line-height: 0.3em; text-indent: 15px; font-size:20px; font-family:Helvetica; border-bottom:2px solid #B21C0E;"><font color= #5E2705>Project Objectives</font></div>== |
+ | '''Our goals are :''' | ||
+ | * To build a GIS tool (an R Shiny app) | ||
+ | * Help administrators determine where best to put eldercare or any amenities | ||
+ | * Based on a geographical cluster analysis as determined through k-means clustering | ||
− | ==<div style="background: #F5F5F5; padding-top: 20px; padding-bottom: 20px; line-height: 0.3em; text-indent: 15px; font-size:20px; font-family: | + | ==<div style="background: #F5F5F5; padding-top: 20px; padding-bottom: 20px; line-height: 0.3em; text-indent: 15px; font-size:20px; font-family:Helvetica; border-bottom:2px solid #B21C0E;"><font color= #5E2705>Data Sources</font></div>== |
− | |||
− | |||
− | |||
− | |||
<table class="wikitable"> | <table class="wikitable"> | ||
<tr> | <tr> | ||
Line 34: | Line 36: | ||
<th> Source </th> | <th> Source </th> | ||
<th> Data Type/Method | <th> Data Type/Method | ||
− | </th></tr> | + | </th> |
+ | </tr> | ||
+ | <tr> | ||
+ | <td> OSM Layer (Singapore) </td> | ||
+ | <td> OpenStreet Map </td> | ||
+ | <td> SHP | ||
+ | </td> | ||
+ | </tr> | ||
+ | <tr> | ||
+ | <td> Master Plan 2014 Subzone Boundary (No Sea) </td> | ||
+ | <td> https://data.gov.sg/dataset/master-plan-2014-subzone-boundary-no-sea </td> | ||
+ | <td> SHP </td> | ||
+ | </tr> | ||
+ | <tr> | ||
+ | <td> Estimated Singapore Resident Population in HDB Flats </td> | ||
+ | <td> https://data.gov.sg/dataset/estimated-resident-population-living-in-hdb-flats </td> | ||
+ | <td> .csv </td> | ||
+ | </tr> | ||
+ | <tr> | ||
+ | <td> Dwelling Units under HDB's Management, by Town and Flat Type </td> | ||
+ | <td> https://data.gov.sg/dataset/number-of-residential-units-under-hdb-s-management </td> | ||
+ | <td> .csv | ||
+ | </td></tr> | ||
<tr> | <tr> | ||
− | <td> | + | <td> Residents by Age Group & Type of Dwelling, Annual </td> |
− | <td> | + | <td> https://data.gov.sg/dataset/residents-by-age-group-type-of-dwelling-annual </td> |
+ | <td> .csv </td> | ||
+ | </tr> | ||
+ | <tr> | ||
+ | <td> Land Area and Dwelling Units by Town </td> | ||
+ | <td> https://data.gov.sg/dataset/land-area-and-dwelling-units-by-town </td> | ||
<td> .csv | <td> .csv | ||
</td></tr> | </td></tr> | ||
<tr> | <tr> | ||
− | <td> | + | <td> Singapore Residents by Subzone and Type of Dwelling, June 2016 </td> |
− | <td> | + | <td> https://data.gov.sg/dataset/singapore-residents-by-subzone-and-type-of-dwelling-june-2016 </td> |
<td> SHP | <td> SHP | ||
</td></tr> | </td></tr> | ||
<tr> | <tr> | ||
− | <td> | + | <td> Singapore Residents by Subzone, Age Group and Sex, June 2016 (Gender) </td> |
− | <td> data.gov.sg </td> | + | <td> https://data.gov.sg/dataset/singapore-residents-by-subzone-age-group-and-sex-june-2016-gender </td> |
+ | <td> SHP | ||
+ | </td></tr> | ||
+ | <tr> | ||
+ | <td> Pre-Schools Location </td> | ||
+ | <td> https://data.gov.sg/dataset/pre-schools-location </td> | ||
+ | <td> KML | ||
+ | </td></tr> | ||
+ | <tr> | ||
+ | <td> Child Care Services </td> | ||
+ | <td> https://data.gov.sg/dataset/child-care-services?resource_id=195b6c5f-c277-4ba9-bcdc-25c264e3ee5c </td> | ||
<td> SHP | <td> SHP | ||
</td></tr> | </td></tr> | ||
Line 53: | Line 92: | ||
</tr></table> | </tr></table> | ||
− | ==<div style="background: #F5F5F5; padding-top: 20px; padding-bottom: 20px; line-height: 0.3em; text-indent: 15px; font-size:20px; font-family: | + | ==<div style="background: #F5F5F5; padding-top: 20px; padding-bottom: 20px; line-height: 0.3em; text-indent: 15px; font-size:20px; font-family:Helvetica; border-bottom:2px solid #B21C0E;"><font color= #5E2705> Project Timeline /Milestones </font></div>== |
− | + | [[File:Project_Timeline_Centroid_Amenities.png|1250px|center]] | |
− | ==<div style="background: #F5F5F5; padding-top: 20px; padding-bottom: 20px; line-height: 0.3em; text-indent: 15px; font-size:20px; font-family: | + | ==<div style="background: #F5F5F5; padding-top: 20px; padding-bottom: 20px; line-height: 0.3em; text-indent: 15px; font-size:20px; font-family:Helvetica; border-bottom:2px solid #B21C0E;"><font color= #5E2705>Related Work</font></div>== |
− | + | {| class="wikitable" | |
+ | |- | ||
+ | | '''OneMap SchoolQuery''' (https://www.onemap.sg/main/v2/schoolquery) | ||
+ | |- | ||
+ | | [[File:SchoolQuery_Centroid_Amenities.png|850px|center]] | ||
+ | |- | ||
+ | | Using this as a reference for our user interface and functionalities of our application. | ||
+ | |- | ||
+ | | '''Clustering With GIS''': An Attempt to Classify Turkish District Data | ||
+ | |- | ||
+ | | [[File:Clustering_Centroid_Amenities.png|850px|center]] | ||
+ | |- | ||
+ | | Using this as a reference for the algorithm and analyze. | ||
+ | |- | ||
+ | | '''Buffer Analysis and Modified K-Means Clustering for Geo-Spatial Amenities on Gujarat state''' | ||
+ | |- | ||
+ | | [[File:Buffer_Centroid_Amenities.png|850px|center]] | ||
+ | |- | ||
+ | | Using this as a reference for our k-means clustering. | ||
+ | |} | ||
− | ==<div style="background: #F5F5F5; padding-top: 20px; padding-bottom: 20px; line-height: 0.3em; text-indent: 15px; font-size:20px; font-family: | + | ==<div style="background: #F5F5F5; padding-top: 20px; padding-bottom: 20px; line-height: 0.3em; text-indent: 15px; font-size:20px; font-family:Helvetica; border-bottom:2px solid #B21C0E;"><font color= #5E2705>Challenges</font></div>== |
− | Lack of Data | + | '''Lack of Data''' |
* Diffcult to find insightful data needed for the project | * Diffcult to find insightful data needed for the project | ||
* Data found are not complete | * Data found are not complete | ||
− | Data cleaning and transformation | + | '''Data cleaning and transformation''' |
* Data found are not in the format that could be analysed, thus data cleaning is tough | * Data found are not in the format that could be analysed, thus data cleaning is tough | ||
* Documentation of cleaning process | * Documentation of cleaning process | ||
− | Inexperience with QGIS | + | '''Inexperience with QGIS''' |
* Self-learning is required | * Self-learning is required | ||
* Listen to Prof Kam in class | * Listen to Prof Kam in class | ||
* Peer-to-peer learning | * Peer-to-peer learning | ||
− | ==<div style="background: #F5F5F5; padding-top: 20px; padding-bottom: 20px; line-height: 0.3em; text-indent: 15px; font-size:20px; font-family: | + | ==<div style="background: #F5F5F5; padding-top: 20px; padding-bottom: 20px; line-height: 0.3em; text-indent: 15px; font-size:20px; font-family:Helvetica; border-bottom:2px solid #B21C0E;"><font color= #5E2705>Tools and Techologies</font></div>== |
* QGIS | * QGIS | ||
* Shiny | * Shiny | ||
Line 80: | Line 138: | ||
* Mircosoft Excel | * Mircosoft Excel | ||
− | =<div style="background: #F5F5F5; padding-top: 20px; padding-bottom: 20px; line-height: 0.3em; text-indent: 15px; font-size:20px; font-family: | + | =<div style="background: #F5F5F5; padding-top: 20px; padding-bottom: 20px; line-height: 0.3em; text-indent: 15px; font-size:20px; font-family:Helvetica; border-bottom:2px solid #B21C0E;"><font color= #5E2705>Meet The Team</font></div>= |
− | + | [[File:Team_Centroid_Amenities.png|850px|center]] | |
+ | |||
+ | =<div style="background: #F5F5F5; padding-top: 20px; padding-bottom: 20px; line-height: 0.3em; text-indent: 15px; font-size:20px; font-family:Helvetica; border-bottom:2px solid #B21C0E;"><font color= #5E2705>References </font></div>= | ||
+ | Aksoy, Ece. (2006). Clustering With GIS: An Attempt to Classify Turkish District Data. Retrieved March 3, 2018, from https://www.researchgate.net/publication/255603804_Clustering_With_GIS_An_Attempt_to_Classify_Turkish_District_Data | ||
+ | |||
+ | Brajesh, S., Katyal, K., Pandya, M., Chaudhary, B., Bodar, H., Thakkar, P., Patel, L., Patel, N., Patel, K. (2014). Buffer Analysis and Modified K-Means Clustering for Geo-Spatial Amenities on Gujarat state. International Journal of Scientific & Engineering Research,5(8), 838-841. Retrieved March 3, 2018, from https://www.ijser.org/researchpaper/Buffer-Analysis-and-Modified-K-Means-Clustering-for-Geo-Spatial-Amenities-on-Gujarat-state.pdf | ||
+ | |||
+ | Tai, J., & Toh, Y. (2016, November 10). Growing old: Should you be worried? Retrieved March 04, 2018, from http://www.straitstimes.com/singapore/growing-old-should-you-be-worried | ||
+ | |||
+ | =<div style="background: #F5F5F5; padding-top: 20px; padding-bottom: 20px; line-height: 0.3em; text-indent: 15px; font-size:20px; font-family:Helvetica; border-bottom:2px solid #B21C0E;"><font color= #5E2705>Comments </font></div>= | ||
+ | Hello fellow mates! Feel free to add your comments under this section. :) |
Latest revision as of 12:15, 10 April 2018
Contents
Motivation and Problem Discovery
As the Singaporean Government looks toward more data-driven approaches to urban planning, it becomes imperative to the cause that we use intelligent ways to determine where we place our built amenities and services, we best serve our citizens' needs.
Currently, there are no ready tools available that could help planners optimise the placement of amenities and services, to make them as accessible as possible to the citizens they serve. Furthermore, we do not have ready analysis tools to help planners assess how accessible the existing amenities and services are.
Project Objectives
Our goals are :
- To build a GIS tool (an R Shiny app)
- Help administrators determine where best to put eldercare or any amenities
- Based on a geographical cluster analysis as determined through k-means clustering
Data Sources
Project Timeline /Milestones
Related Work
OneMap SchoolQuery (https://www.onemap.sg/main/v2/schoolquery) |
Using this as a reference for our user interface and functionalities of our application. |
Clustering With GIS: An Attempt to Classify Turkish District Data |
Using this as a reference for the algorithm and analyze. |
Buffer Analysis and Modified K-Means Clustering for Geo-Spatial Amenities on Gujarat state |
Using this as a reference for our k-means clustering. |
Challenges
Lack of Data
- Diffcult to find insightful data needed for the project
- Data found are not complete
Data cleaning and transformation
- Data found are not in the format that could be analysed, thus data cleaning is tough
- Documentation of cleaning process
Inexperience with QGIS
- Self-learning is required
- Listen to Prof Kam in class
- Peer-to-peer learning
Tools and Techologies
- QGIS
- Shiny
- R Language
- Open Street Map
- Mircosoft Excel
Meet The Team
References
Aksoy, Ece. (2006). Clustering With GIS: An Attempt to Classify Turkish District Data. Retrieved March 3, 2018, from https://www.researchgate.net/publication/255603804_Clustering_With_GIS_An_Attempt_to_Classify_Turkish_District_Data
Brajesh, S., Katyal, K., Pandya, M., Chaudhary, B., Bodar, H., Thakkar, P., Patel, L., Patel, N., Patel, K. (2014). Buffer Analysis and Modified K-Means Clustering for Geo-Spatial Amenities on Gujarat state. International Journal of Scientific & Engineering Research,5(8), 838-841. Retrieved March 3, 2018, from https://www.ijser.org/researchpaper/Buffer-Analysis-and-Modified-K-Means-Clustering-for-Geo-Spatial-Amenities-on-Gujarat-state.pdf
Tai, J., & Toh, Y. (2016, November 10). Growing old: Should you be worried? Retrieved March 04, 2018, from http://www.straitstimes.com/singapore/growing-old-should-you-be-worried
Comments
Hello fellow mates! Feel free to add your comments under this section. :)