Choropleth

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  • Topic: Cartography, Choropleth map, Gujarat
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  • Published : October 27, 2012
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2012
Choropleth map of altitude of Gujarat
Research Paper

This abstract contains details of all the districts altitude and its choropleth map.It also contains the list of all talukas of Gujarat and their altitude and choropleth map.

2012
Kushal Mehta, Jaimin Shah

9/3/2012

MCA SEM-V
Research On
Choropleth Map Of Gujarat
Submitted to
MCA Department
NARMADA COLLEGE OF COMPUTER APPLICATION
(NCCA)-BHARUCH
GUJARAT TECHNOLOGICAL UNIVERSITY
(GTU)-AHMEDABAD

Submitted By

Kushal Mehta [105230693012]
Jaymeen Shah[105230693005]

Table of Contents
SR NO| PARTICULARS|
1| Abstract|
2| Keywords|
3| Introduction|
4| Related Literature review|
5| Methodology|
6| Results & Findings|
7| Conclusion[Future improvements]|
8| Bibliography|
9| References|

Abstract

A choropleth map is a thematic map in which areas are shaded or patterned in proportion to the measurement of the statistical variable being displayed on the map, such as population density or per-capita income. The choropleth map provides an easy way to visualize how a measurement varies across a geographic area or it shows the level of variability within a region. A special type of choropleth map is a prism map, a three-dimensional map in which a given region's height on the map is proportional to the statistical variable's value for that region. The earliest known choropleth map was created in 1826 by Baron Pierre Charles Dupin.[1] The term "choropleth map" was introduced 1938 by the geographer John Kirtland Wright in "Problems in Population Mapping". Choropleth maps are based on statistical data aggregated over previously defined regions (e.g., counties), in contrast to area-class and isarithmic maps, in which region boundaries are defined by data patterns. Thus, where defined regions are important to a discussion, as in an election map divided by electoral regions, choropleths are preferred. Where real-world patterns may not conform to the regions discussed, issues such as the ecological fallacy and the modifiable areal unit problem (MAUP) can lead to major misinterpretations, and other techniques are preferable. Choropleth maps are frequently used in inappropriate applications due to the abundance of choropleth data and the ease of design using Geographic Information Systems. Broadly speaking choropleths represent two types of data: Spatially Extensive or Spatially Intensive. Spatially Extensive data are things like populations. The population of the UK might be 60 million, but it would not be accurate to cut the UK into two halves of equal area and say that the population of each half of the UK is 30 million. Spatially Intensive data are things like rates, densities and proportions. These can be thought of conceptually as field data that is averaged over an area. Another common error in choropleths is the use of raw data values to represent magnitude rather than normalized values to produce a map of densities. This is problematic because the eye naturally integrates over areas of the same color, giving undue prominence to larger polygons of moderate magnitude and minimizing the significance of smaller polygons with high magnitudes. Compare the circled features in the maps at right. How to make choropleth map?

The worksheet includes a number of diagrams which we have to look at and complete. The first diagram is the one shown below.

Each dot on the diagram represents a child playing in the school playground. The children in your class have to turn this random-looking arrangement of dots, into meaningful information. Complete instructions are included on the sheet for them to follow. Instructions and Answers:

After looking at diagram 1, the children's first task is to join up the markers on opposite sides of it. It is important that the children's lines are STRAIGHT, and join up the markers correctly. Inaccurate line-drawing might affect the results.

Once they have done this, the...
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