SlideShare a Scribd company logo
Final Presentation
Incharge:
Dr. Maskey Ramesh Kumar
Supervisor: Group Members:
Mr. Shrestha Nawaraj Bhandari Biplov(04)
Er. Ghimire Prashant Dhakal Jyoti(07)
Kafle Shashwat(11)
Khanal Nishanta(15)
Ranjit Rita(23)
Date:26th July,2012
Department of Civil and Geomatics Engineering
School of Engineering
Kathmandu University
Dhulikhel, Kavre
PRESENTATION OUTLINES
 Introduction
 Rationale
 Objectives
 Working site
 Methodology
 Outcomes
 Instruments And Software used
 Project Schedule
 Difficulties Encountered
 References
Thursday , July 26,2012 2Thematic Mapping of School Network in Banepa
INTRODUCTION
 Thematic map is a map representing a specific spatial
distribution, theme or topic.
 School Network shows location of various schools.
 School network map certain the number of schools and the main
roads linking them.
 Helps in the education sector for future references(like policy
making on education sector, establishing new school on an area)
Thursday , July 26,2012 3Thematic Mapping of School Network in Banepa
Contd…
 Various kind of visualization can be done for various kind
of data.
 Types of data and visualization:
1.Nominal data: Data of different nature/characteristics of
things(qualitative).eg.land-use map and education-network
map.
 can be best shown by varying shape to show they are
unrelated.
2. Ordinal data: Data with a clear element of order, not
quantitatively determined.eg.graveled road and pitch road.
 can be best shown by varying value.
Thursday , July 26,2012 4Thematic Mapping of School Network in Banepa
Contd…
3. Interval data: Quantitative information with arbitrary
zero.eg.temperatue data.
 can be best shown by varying value
4. Ratio data: Quantitative data with absolute zero on the
scale.eg.number of male and female
 can be best shown by varying size.
Thursday , July 26,2012 5Thematic Mapping of School Network in Banepa
RATIONALE
 Lack of thematic map showing the spatial distribution of school
in Banepa.
 Increasing urbanization of Banepa and relative growing trend of
schools.
 As a future reference for policy maker to take necessary steps.
Thursday , July 26,2012 6Thematic Mapping of School Network in Banepa
OBJECTIVES
 To create a map with the schools distribution in Banepa.
 To show the male-female proportion, teacher-student
proportion and total number of students and teachers.
 Enrollment of students from various places.
Thursday , July 26,2012 7Thematic Mapping of School Network in Banepa
WORKING SITE
BANEPA-OUR WORKING SITEThursday , July 26,2012 8Thematic Mapping of School Network in Banepa
Location Map of Banepa Municipality
Thursday , July 26,2012 9Thematic Mapping of School Network in Banepa
Literature
Review Consulting
Supervisors
Data
Collection
Co-ordinates
using GPS
Method
Library
Consultation,
internet
Attribute data
collection relating
school information
Final Output
Thematic Map
Report
Writing
Analysis
METHODOLOGIES…
Thursday , July 26,2012 10Thematic Mapping of School Network in Banepa
METHODOLOGY
Literature review:
 Library consultation: Internet.
 Consulting seniors and supervisors.
Data Collection
 Co-ordinates using GPS Method.
 Attribute data relating school information.
Final Output
 School Network map using Arc GIS software and
various analysis.
Thursday , July 26,2012 11Thematic Mapping of School Network in Banepa
Contd…
Graphics variables:
An elementary way to which graphics
symbols are distinguish from each other.
Bertin’s visual variables:
An elementary way in which point, line and
area symbols can be graphically varied.
 Visual variables are:
Size
Shape
Value (lightness or color tints)
Texture
Color
Orientation
Fig: Map showing ratio data using
size visual variable
Thursday , July 26,2012 12Thematic Mapping of School Network in Banepa
Contd…
Since our data is ratio , so we used size
Variable to show variation.
Proportion point symbol to use bar chart and pie chart.
Thursday , July 26,2012 13Thematic Mapping of School Network in Banepa
Thursday , July 26,2012 14Thematic Mapping of School Network in Banepa
Thursday , July 26,2012 Thematic Mapping of School Network in Banepa 15
OUTCOMES
 Thematic map of school networks showing the school
distribution and various attribute data and road
connecting them by the use GIS.
 Visualization of quantitative data by the use of Bertin’s
visual variables.
Thursday , July 26,2012 16Thematic Mapping of School Network in Banepa
Thursday , July 26,2012 17Thematic Mapping of School Network in Banepa
Thursday , July 26,2012 18Thematic Mapping of School Network in Banepa
Thursday , July 26,2012 19Thematic Mapping of School Network in Banepa
Thursday , July 26,2012 Thematic Mapping of School Network in Banepa 20
Thursday , July 26,2012 21Thematic Mapping of School Network in Banepa
SPATIAL DATA
Thursday , July 26,2012 22Thematic Mapping of School Network in Banepa
ATTRIBUTE DATA
Thursday , July 26,2012 23Thematic Mapping of School Network in Banepa
REFERENCES
 Penuel,W., Sussex, W.,& Korbak, C.( 2005) “Mapping the Distribution
of Expertise and Resources in a School: Investigating the Potential of
Using Social Network Analysis in Evaluation”, Canada.
 Mondora, D., (2008), “The Socioeconomic Mapping and Resource
Topography (SMART) System”, ESRI Conference, U.S.
 Georgiadou,Y., Sun,Y. et.al.(2004),”Principles of Geographic
Information Systems”, ITC, Netherlands.
 www.en.wikipedia.org/wiki/Banepa
Thursday , July 26,2012 24Thematic Mapping of School Network in Banepa
Thursday , July 26,2012 25Thematic Mapping of School Network in Banepa

More Related Content

PPTX
CLIM Program: Remote Sensing Workshop, Welcome from SAMSI - David Banks, Feb ...
PDF
Sisay Chala
PDF
Maptime Madison: December 7th, 2016
DOCX
Bachelor thesis
PPTX
Recycling powerpoint
PPTX
What is Recycling: 7 Benefits of Recycling
PPT
Reduce, Reuse and Recycle (3R)
PDF
Systematic Review of the Development of Spatial Intelligence through Augmente...
CLIM Program: Remote Sensing Workshop, Welcome from SAMSI - David Banks, Feb ...
Sisay Chala
Maptime Madison: December 7th, 2016
Bachelor thesis
Recycling powerpoint
What is Recycling: 7 Benefits of Recycling
Reduce, Reuse and Recycle (3R)
Systematic Review of the Development of Spatial Intelligence through Augmente...

Similar to Thematic Mapping of School Network (20)

PDF
Predicting student performance using aggregated data sources
PDF
MATH APPS IN MATH EDUCATION: EXPERIENCES AND CHALLENGES OF PRE-SERVICE TEACHERS
PDF
Learning high-level spectral-spatial features for hyperspectral image classif...
PPTX
SME Project Brief
PPTX
WP 2: Modernization of Math Courses for STEM Education in GE/AM Universities
PDF
MathDali Evaluation: A Report Prepared for the Knowledge Channel Foundation Inc.
PPTX
Visual data-enriched design technology for blended learning
PDF
[IJET-V2I1P2] Authors: S. Lakshmi Prabha1, A.R.Mohamed Shanavas
PPTX
Learning Tendency Analysis of Scratch Programming Course(Entry Class) for Upp...
PPTX
Ict Tools In Mathematics Instruction
PPTX
20_05_08 «La Red Española de Analítica del Aprendizaje (SNOLA): logros y retos».
PDF
Data Models and Query Languages for Linked Geospatial Data
PDF
If Blended Learning is the Answer: What is the Question?
PDF
Enhancing Spatial Visualization in CABRI 3D-Assisted Geometry Learning: A Sy...
DOCX
mini project on artificial intelligence and machine learning
PPT
Digital Libraries Workshop at CMC-South 2008
PDF
Yannis@ascilite 20200908 final
PPTX
COMP_GroupA2.pptx
PDF
Assignments As Influential Factor To Improve The Prediction Of Student Perfor...
PDF
PMED Undergraduate Workshop - Introduction and Opening Remarks - Elvan Ceyhan...
Predicting student performance using aggregated data sources
MATH APPS IN MATH EDUCATION: EXPERIENCES AND CHALLENGES OF PRE-SERVICE TEACHERS
Learning high-level spectral-spatial features for hyperspectral image classif...
SME Project Brief
WP 2: Modernization of Math Courses for STEM Education in GE/AM Universities
MathDali Evaluation: A Report Prepared for the Knowledge Channel Foundation Inc.
Visual data-enriched design technology for blended learning
[IJET-V2I1P2] Authors: S. Lakshmi Prabha1, A.R.Mohamed Shanavas
Learning Tendency Analysis of Scratch Programming Course(Entry Class) for Upp...
Ict Tools In Mathematics Instruction
20_05_08 «La Red Española de Analítica del Aprendizaje (SNOLA): logros y retos».
Data Models and Query Languages for Linked Geospatial Data
If Blended Learning is the Answer: What is the Question?
Enhancing Spatial Visualization in CABRI 3D-Assisted Geometry Learning: A Sy...
mini project on artificial intelligence and machine learning
Digital Libraries Workshop at CMC-South 2008
Yannis@ascilite 20200908 final
COMP_GroupA2.pptx
Assignments As Influential Factor To Improve The Prediction Of Student Perfor...
PMED Undergraduate Workshop - Introduction and Opening Remarks - Elvan Ceyhan...
Ad

More from Biplov Bhandari (12)

PDF
Sahana Disaster Management System
PDF
CAP-on-a-MAP: An Application for Location Specific Early Warnings
PDF
Sahana SAMBRO Work Flows
PDF
Sahana Workshop Pokhara Nepal
PDF
Preparation of Web Mapping Application of Balephi-B Hydropower Project
PPTX
Generation of High Resolution DSM using UAV Images - Final Year Project
PPTX
DSM Generation Using High Resolution UAV Images
PPTX
Python Geopy
PPTX
SDI In The Context Of Nepal
PPTX
Measurement of Surface Temperature of a Glacier Using an Unmanned Aerial Vehi...
PPTX
Infrastructure Standards For Geospatial Standarization
PPTX
Multisource Data Integration To Prepare Interactive 3D Model Of Kathmandu Uni...
Sahana Disaster Management System
CAP-on-a-MAP: An Application for Location Specific Early Warnings
Sahana SAMBRO Work Flows
Sahana Workshop Pokhara Nepal
Preparation of Web Mapping Application of Balephi-B Hydropower Project
Generation of High Resolution DSM using UAV Images - Final Year Project
DSM Generation Using High Resolution UAV Images
Python Geopy
SDI In The Context Of Nepal
Measurement of Surface Temperature of a Glacier Using an Unmanned Aerial Vehi...
Infrastructure Standards For Geospatial Standarization
Multisource Data Integration To Prepare Interactive 3D Model Of Kathmandu Uni...
Ad

Recently uploaded (20)

PDF
keyrequirementskkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk
PPTX
Recipes for Real Time Voice AI WebRTC, SLMs and Open Source Software.pptx
PPTX
CH1 Production IntroductoryConcepts.pptx
PPTX
MET 305 2019 SCHEME MODULE 2 COMPLETE.pptx
PDF
Mohammad Mahdi Farshadian CV - Prospective PhD Student 2026
PPTX
Internet of Things (IOT) - A guide to understanding
PPTX
IOT PPTs Week 10 Lecture Material.pptx of NPTEL Smart Cities contd
PDF
Mitigating Risks through Effective Management for Enhancing Organizational Pe...
PPTX
CYBER-CRIMES AND SECURITY A guide to understanding
PDF
SM_6th-Sem__Cse_Internet-of-Things.pdf IOT
PPTX
Construction Project Organization Group 2.pptx
PDF
Operating System & Kernel Study Guide-1 - converted.pdf
PPTX
Engineering Ethics, Safety and Environment [Autosaved] (1).pptx
PPTX
M Tech Sem 1 Civil Engineering Environmental Sciences.pptx
PPTX
Infosys Presentation by1.Riyan Bagwan 2.Samadhan Naiknavare 3.Gaurav Shinde 4...
PDF
Embodied AI: Ushering in the Next Era of Intelligent Systems
PPTX
KTU 2019 -S7-MCN 401 MODULE 2-VINAY.pptx
PDF
The CXO Playbook 2025 – Future-Ready Strategies for C-Suite Leaders Cerebrai...
PPTX
MCN 401 KTU-2019-PPE KITS-MODULE 2.pptx
DOCX
573137875-Attendance-Management-System-original
keyrequirementskkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk
Recipes for Real Time Voice AI WebRTC, SLMs and Open Source Software.pptx
CH1 Production IntroductoryConcepts.pptx
MET 305 2019 SCHEME MODULE 2 COMPLETE.pptx
Mohammad Mahdi Farshadian CV - Prospective PhD Student 2026
Internet of Things (IOT) - A guide to understanding
IOT PPTs Week 10 Lecture Material.pptx of NPTEL Smart Cities contd
Mitigating Risks through Effective Management for Enhancing Organizational Pe...
CYBER-CRIMES AND SECURITY A guide to understanding
SM_6th-Sem__Cse_Internet-of-Things.pdf IOT
Construction Project Organization Group 2.pptx
Operating System & Kernel Study Guide-1 - converted.pdf
Engineering Ethics, Safety and Environment [Autosaved] (1).pptx
M Tech Sem 1 Civil Engineering Environmental Sciences.pptx
Infosys Presentation by1.Riyan Bagwan 2.Samadhan Naiknavare 3.Gaurav Shinde 4...
Embodied AI: Ushering in the Next Era of Intelligent Systems
KTU 2019 -S7-MCN 401 MODULE 2-VINAY.pptx
The CXO Playbook 2025 – Future-Ready Strategies for C-Suite Leaders Cerebrai...
MCN 401 KTU-2019-PPE KITS-MODULE 2.pptx
573137875-Attendance-Management-System-original

Thematic Mapping of School Network

  • 1. Final Presentation Incharge: Dr. Maskey Ramesh Kumar Supervisor: Group Members: Mr. Shrestha Nawaraj Bhandari Biplov(04) Er. Ghimire Prashant Dhakal Jyoti(07) Kafle Shashwat(11) Khanal Nishanta(15) Ranjit Rita(23) Date:26th July,2012 Department of Civil and Geomatics Engineering School of Engineering Kathmandu University Dhulikhel, Kavre
  • 2. PRESENTATION OUTLINES  Introduction  Rationale  Objectives  Working site  Methodology  Outcomes  Instruments And Software used  Project Schedule  Difficulties Encountered  References Thursday , July 26,2012 2Thematic Mapping of School Network in Banepa
  • 3. INTRODUCTION  Thematic map is a map representing a specific spatial distribution, theme or topic.  School Network shows location of various schools.  School network map certain the number of schools and the main roads linking them.  Helps in the education sector for future references(like policy making on education sector, establishing new school on an area) Thursday , July 26,2012 3Thematic Mapping of School Network in Banepa
  • 4. Contd…  Various kind of visualization can be done for various kind of data.  Types of data and visualization: 1.Nominal data: Data of different nature/characteristics of things(qualitative).eg.land-use map and education-network map.  can be best shown by varying shape to show they are unrelated. 2. Ordinal data: Data with a clear element of order, not quantitatively determined.eg.graveled road and pitch road.  can be best shown by varying value. Thursday , July 26,2012 4Thematic Mapping of School Network in Banepa
  • 5. Contd… 3. Interval data: Quantitative information with arbitrary zero.eg.temperatue data.  can be best shown by varying value 4. Ratio data: Quantitative data with absolute zero on the scale.eg.number of male and female  can be best shown by varying size. Thursday , July 26,2012 5Thematic Mapping of School Network in Banepa
  • 6. RATIONALE  Lack of thematic map showing the spatial distribution of school in Banepa.  Increasing urbanization of Banepa and relative growing trend of schools.  As a future reference for policy maker to take necessary steps. Thursday , July 26,2012 6Thematic Mapping of School Network in Banepa
  • 7. OBJECTIVES  To create a map with the schools distribution in Banepa.  To show the male-female proportion, teacher-student proportion and total number of students and teachers.  Enrollment of students from various places. Thursday , July 26,2012 7Thematic Mapping of School Network in Banepa
  • 8. WORKING SITE BANEPA-OUR WORKING SITEThursday , July 26,2012 8Thematic Mapping of School Network in Banepa
  • 9. Location Map of Banepa Municipality Thursday , July 26,2012 9Thematic Mapping of School Network in Banepa
  • 10. Literature Review Consulting Supervisors Data Collection Co-ordinates using GPS Method Library Consultation, internet Attribute data collection relating school information Final Output Thematic Map Report Writing Analysis METHODOLOGIES… Thursday , July 26,2012 10Thematic Mapping of School Network in Banepa
  • 11. METHODOLOGY Literature review:  Library consultation: Internet.  Consulting seniors and supervisors. Data Collection  Co-ordinates using GPS Method.  Attribute data relating school information. Final Output  School Network map using Arc GIS software and various analysis. Thursday , July 26,2012 11Thematic Mapping of School Network in Banepa
  • 12. Contd… Graphics variables: An elementary way to which graphics symbols are distinguish from each other. Bertin’s visual variables: An elementary way in which point, line and area symbols can be graphically varied.  Visual variables are: Size Shape Value (lightness or color tints) Texture Color Orientation Fig: Map showing ratio data using size visual variable Thursday , July 26,2012 12Thematic Mapping of School Network in Banepa
  • 13. Contd… Since our data is ratio , so we used size Variable to show variation. Proportion point symbol to use bar chart and pie chart. Thursday , July 26,2012 13Thematic Mapping of School Network in Banepa
  • 14. Thursday , July 26,2012 14Thematic Mapping of School Network in Banepa
  • 15. Thursday , July 26,2012 Thematic Mapping of School Network in Banepa 15
  • 16. OUTCOMES  Thematic map of school networks showing the school distribution and various attribute data and road connecting them by the use GIS.  Visualization of quantitative data by the use of Bertin’s visual variables. Thursday , July 26,2012 16Thematic Mapping of School Network in Banepa
  • 17. Thursday , July 26,2012 17Thematic Mapping of School Network in Banepa
  • 18. Thursday , July 26,2012 18Thematic Mapping of School Network in Banepa
  • 19. Thursday , July 26,2012 19Thematic Mapping of School Network in Banepa
  • 20. Thursday , July 26,2012 Thematic Mapping of School Network in Banepa 20
  • 21. Thursday , July 26,2012 21Thematic Mapping of School Network in Banepa
  • 22. SPATIAL DATA Thursday , July 26,2012 22Thematic Mapping of School Network in Banepa
  • 23. ATTRIBUTE DATA Thursday , July 26,2012 23Thematic Mapping of School Network in Banepa
  • 24. REFERENCES  Penuel,W., Sussex, W.,& Korbak, C.( 2005) “Mapping the Distribution of Expertise and Resources in a School: Investigating the Potential of Using Social Network Analysis in Evaluation”, Canada.  Mondora, D., (2008), “The Socioeconomic Mapping and Resource Topography (SMART) System”, ESRI Conference, U.S.  Georgiadou,Y., Sun,Y. et.al.(2004),”Principles of Geographic Information Systems”, ITC, Netherlands.  www.en.wikipedia.org/wiki/Banepa Thursday , July 26,2012 24Thematic Mapping of School Network in Banepa
  • 25. Thursday , July 26,2012 25Thematic Mapping of School Network in Banepa