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presenting findings (chp 3.4) - Coggle Diagram
presenting findings (chp 3.4)
using
maps
visual representations of real-world
spatial info
using symbols
most symbols are essentially variations of dots, lines and polygons
dots are used to discrete features like trees or shops. lines represent roads or continuous features. polygons represent boundaries like parks or schools.
consist of essential elements like title, date, orientation, scale, legend, author and sources
title provides some detail about map's content which include year and data source. orientation is usually aligned with the compass arrow pointing at north. scale is provided to help readers understand the map's relative size and distance. legends may contain additional details like source of data or date the data was collected. including author, sources of mapping data and the biases inherent in them makes it possible for readers to gauge the reliability of the info and to explore data further if necessary.
using
graphs
useful in interpreting data for analysis and in presenting data findings
to decide which to use, we need to consider the kind of quantitative data and how it could meaningfully communicate findings
bar graphs
shows total values by categories using rectangles
used to present data with discrete categories and to compare the data
pie chart
shows categorical data in form of circular graph
used to show percentage or proportional data
line graph
shows data that continuously change over time
trends and relationships can be shown using upward and downward lines, showing increasing or decreasing trends
gradients of best-fit lines determine relationships between variables
used to show trends over time and present continuous data
using photographs and texts
photographs are used to present fieldwork findings with spatial info
can be taken from diff orientations offering diff perspectives
ground-level images are often used to present a detailed part of an area
aerial images are used to present spatial distribution over the whole area
text-based data are qualitative
often present researchers with unique challenges of interpretation and representation
include letters, oral histories, transcripts of interviews, rich sources of secondary info
common approaches to present findings:
colour-coded quotations
easy for researchers to lose sight of what they are reading when analysing large bodies of texts
useful in analysing and presenting findings from qualitative data
use of colours and its meanings help analyse data and communicate findings
word cloud
sometimes it's difficult to recognise most important points
used to present more important points
bigger and bolder the word, more often it's mentioned. signals greater importance