Gis Mapping Examples

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The document discusses different types of maps and charts that can be used to visualize data based on the message, data, audience, and context. It lists common map types like choropleth, graduated symbol, dot density, and 3D maps. It also lists different chart types useful for different purposes, such as bar charts for comparing values, area charts for showing total values, line charts for trends over time, and scatter plots for revealing patterns. The document provides guidance on selecting the most appropriate visual based on the characteristics of the data and the goals of the analysis or communication.

Map Types Choose the most appropriate one based on your message, data, audience and venue

Statistical Analysis Result of a T-test performed to identify areas of significant change in deer harvest.

Point Data Discrete vs. Continuous Discrete Continuous

Charts . Presents complex tabular information effectively. Provides an immediate impact and takes less effort to understand. . Complements map information. Shows the same information in a different way, or provides additional information about map features.

Bar Chart Good for comparing values and showing trends

Column Chart Good for comparing values and showing trends

Area Chart Good for showing the relative value for each category as well as the total.

Cumulative Bar Chart Combines features of both the bar and area charts

Pie Charts Shows relationships between the parts and the whole, particularly useful for showing proportions and ratios.

Line Charts Emphasizes rate of change. Particularly good for representing trends over a period of time.

Scatter Charts Reveals trends or patterns in the data. Can help reveal associations, sometimes cause-and-effect relationships.

This document discusses plotting histograms in big data analytics. It begins with an introduction to histograms and how they show the distribution of a dataset. It then explains how histograms work by using vertical bars divided into bins to show the frequency of data points. The document also includes tips for creating histograms, such as always starting the vertical axis at 0. It describes extensions of histograms, including overlapping histograms to compare distributions, frequency polygons which connect the midpoints of histogram bars, and density plots which use a continuous curve to estimate the probability density function of the data.

Understanding on graph in bpoAjit Kumar

The document discusses different types of graphs and charts used to visualize data, including their purposes and appropriate uses. It explains that line charts show trends over time, column charts compare items within categories, and pie charts show proportional relationships. Scatter plots and bubble charts illustrate correlations between two variables, while area charts emphasize changes between data points. Combination charts allow comparison of multiple categories. Proper visualization selection depends on the problem and data to be depicted.

Tableau - box plotLearnbay Datascience

Basics of Educational Statistics (Graphs & its Types)HennaAnsari

This document provides information about different types of graphs used in statistical analysis and data visualization. It defines and describes pictograms, bar charts, pie charts, line graphs, histograms, frequency polygons, radar charts, frequency curves, and scatter plots. Advantages and disadvantages of pictograms are discussed. Key information conveyed includes that pictograms use pictures to represent data, bar charts use rectangular bars to plot discrete and categorical data, and pie charts illustrate proportions using circular sectors.

Graphs17052021gopinathannsriramachandraeduin

This document discusses different types of statistical graphs used to visually represent numerical data. It describes graphs such as bar diagrams, pie charts, pictograms, maps, histograms, frequency polygons, frequency curves, line charts, and scatter diagrams. Bar diagrams can be simple, multiple, or proportional. Pie charts represent discrete data groups as sectors of a circle proportional to their frequencies. Pictograms and maps are used to show frequencies or distributions geographically. Histograms, polygons, and curves represent frequency distributions, while line charts show trends over time and scatter diagrams show correlations between two variables.

Controlled assessment - Data PresentationRCB78

This document provides guidance for students presenting data on changes in river channel characteristics from the upper to lower course. It outlines hypotheses about how channel size, efficiency, and gradient will change downstream and lists essential graphs to include, such as cross-sectional area, efficiency, and gradient over 12 sites. Students are instructed to draw cross-sections to scale for their 4 sites and include photos and text to make the cross-sections more sophisticated. Examples of student cross-sections are shown. The document also provides examples of bar, line, and scatter graphs to present trends in cross-sectional area, efficiency, velocity, and gradient downstream.

Simple graph typesMahi Syama

Simple graph types include line charts, area charts, column charts, bar charts, segmented bar/column charts, pie charts, and doughnut charts. Line charts show changes over time and compare variables. Area charts show changes in volume over time. Column charts compare data at specific times or between nominal categories. Bar charts emphasize comparisons. Segmented charts show proportional relationships and sub-elements over time. Pie charts compare parts to a whole. Doughnut charts are like pie charts but can show multiple data series.

Bigdatasakthibalabalamuruga

This document provides an overview of different types of charts used for data visualization, including column charts, bar charts, pie charts, doughnut charts, line charts, area charts, scatter charts, spider/radar charts, gauge charts, and comparison charts. It describes the purpose and use of each chart type, highlighting when each type is most effective to visualize different kinds of data relationships. The document aims to help readers select the most appropriate chart type based on their data and visualization goals.

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Histograms provide a graphical representation of the distribution of continuous data by dividing it into equal intervals and displaying the frequency of data points within each interval as bars. Each bar represents a range of data values and its height shows how many data points fall within that range. Histograms allow analysis of extremely large datasets by reducing the data into a single graph that shows peaks and valleys in the distribution in a visually clear way.

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To create effective data visualizations, it is important to first understand the data and choose an appropriate visualization type to convey the story or insight. There are many types of graphs suited to different data types, such as line graphs for trends over time, histograms to highlight specific values, and bar charts for labels. Maps are also useful visualizations when geographic data is involved, allowing representation through dots, lines, polygons, choropleths and heatmaps. The key is matching the right visualization to the data for clarity and informed understanding.

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Graphs are visual representations of data that help illustrate amounts and relationships. There are several common types of graphs, including pictographs, pie charts, map charts, histograms, bar graphs, and line graphs. Each graph type has distinct features - for example, pictographs use icons to represent quantities, pie charts show data as percentages, and line graphs connect data points with lines. Graphs are useful tools for understanding and analyzing various sets of information.

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Different types of chartsZakaria Salim

Types Of Chartswmassie

This document discusses six common types of charts used in business: column chart, stacked bar chart, line chart, XY scatter plot, pie chart, and exploded pie chart. It defines each chart and provides examples to illustrate the type of data each chart is best suited to display. The column chart compares groups of data. The stacked bar chart shows the contribution of parts to a whole. The line chart indicates trends over time. The XY scatter plot shows correlations between two variables. The pie chart displays the percentage of parts in a whole. The exploded pie chart emphasizes portions of a pie chart.

GraphsSaijalBakhtyapuri

A graph is a visual representation of data using symbols to show relationships between sets of numbers or measurements. Common types of graphs include bar charts, line charts, pie charts, and histograms. A bar chart uses bars to compare categorical data along two axes. A line chart connects data points over time to show changes in an asset's price. A pie chart divides a circle into slices proportional to the quantities in different categories. A histogram bins data values into intervals and counts the number of values within each interval.

Charts And GraphsHimadri Shekhar

This document discusses different types of charts and graphs that can be used to visually represent data. It provides examples of pie charts, bar charts, column charts, line charts, area charts, and scatter plots. Reasons for creating charts include making trends easily recognizable, allowing quick perception of information, and aiding data interpretation. Charts can be incorporated into business reports, web pages, posters, and other documents. Proper selection of charts is important to illustrate different types of data, such as time series data displayed in line graphs or comparisons shown in bar charts.

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This document provides guidance on effective techniques for presenting data through graphics such as charts, graphs, and tables. It discusses principles of graphic excellence, such as communicating complex ideas clearly and efficiently. Rules for creating high-quality tables and charts are presented, including proper formatting, sourcing, and design elements. A variety of chart types like bar graphs, pie charts, and line graphs are described along with guidelines for choosing the appropriate format to illustrate different types of relationships in the data. The document cautions that while powerful, graphics can potentially mislead if not designed and presented truthfully.

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This document discusses different types of charts used in statistics to visually represent data, including bar charts, line charts, pie charts, histograms, scatter plots, exponential graphs, and trigonometric graphs. Bar charts and line charts are useful for comparing data across categories and showing trends over time. Pie charts show proportions of data as slices of a circle. Histograms group data into bins to summarize continuous or discrete measurements. Scatter plots show the relationship between two numeric variables using positioned dots. Exponential and trigonometric graphs visually represent their respective functions and are used in engineering and research.

Writing Figures, grapjuvinmiscala

This document provides guidance on creating and using figures, graphs, and tables in a PowerPoint presentation. It discusses the purpose and structure of different types of graphs like bar graphs, line graphs, pie charts, and histograms. It also covers best practices for labeling axes, scaling data appropriately, and ensuring graphs are readable. The document notes that while graphs are useful for showing trends and relationships in data, they have limitations and don't provide all contextual details of an investigation. Tables are also discussed as an organizer for presenting data but can be less clear for showing numerical patterns than graphs.

Types of ChartsLoyd Calangan

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This document discusses Insights for ArcGIS, a new tool for analyzing and visualizing data in ArcGIS. It can perform descriptive data analysis graphically and intuitively. Insights connects analysis and visualization through interactive cards. It works directly with individual data fields and generates a spatial or temporal model in the background. Results are created on relevant cards and can be shared, collaborated on, and embedded in Story Maps. Insights can be used online through ArcGIS Online or on-premises with ArcGIS Enterprise.

Statisticsdiereck

This document discusses different types of graphs used to present statistical data. It provides examples and guidelines for bar graphs, pie charts, histograms, line graphs, and pictographs. Bar graphs can show categorical data and frequencies. Pie charts represent qualitative data through wedge-shaped slices. Histograms use bars to depict continuous data grouped into ranges or classes. Line graphs illustrate relationships that change over time. Pictographs use images to demonstrate quantities. Being able to interpret and construct these various graphs is important for analyzing real-world data.

Area chartLisamarieTamange

The document discusses area charts. An area chart is a line chart where the data of various series are separated lines and appear having the area below the lines filled with colors. There are three main subtypes: basic area chart, stacked area chart, and 100% area chart. Area charts are useful for showing the relationship between different time series data sets over time and can represent cumulative totals using numbers or percentages. They are commonly used in education and business to showcase trends based on magnitude rather than individual data values.

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The document discusses different types of maps and data presentation methods used in geography, including their purposes, characteristics, and limitations. Scatter plots show relationships between two data sets, with the dependent variable on the x-axis. Line graphs show changes over time with all points connected. Maps are important geographical tools that can locate study areas, show spatial patterns, and compare changes over time. Different map types include choropleth, dot, topological, isoline, and sketch maps. Selecting the appropriate map scale and being aware of maps' limitations, like being snapshots in time, are important considerations.

TID Chapter 5 Introduction To Charts And GraphWanBK Leo

This document discusses different types of charts and graphs that can be used to represent data visually. It describes common chart types like pie charts, bar charts, line graphs, and scatter plots. The document explains how each type of chart is best used depending on the nature of the data and the insights that need to be conveyed. It also provides guidance on creating charts in Excel and includes an example of a hands-on exercise for practicing generating different chart types from sample data sets.

DATA GRAPHICS -REPRESENTATION OF DATADr-Jitendra Patel

In this video Data Graphics has been discussed. How the data can be presented with the help of different line graph, poly graph, bar diagram, histogram and Scatter plot and semi logarithmic plot/graph. Portion completed: 1.DATA GRAPHICS 2. REPRESENTATION OF DATA 3. line graph, 4. poly graph, 5. bar diagram, 6. histogram 7. Pie diagram 8. Wind rose and star diagram 9. Flow Charts 10. Simple Bar Diagram 11. Line and Bar Graph 12. Multiple Bar Diagram 13. Compound Bar Diagram 14. Pie Diagram 15. Scatter plot 16. Semi-log plot

Tables, Graphs, and Charts Social StudiesLyn Gile Facebook

This document is a PowerPoint presentation about using tables, graphs, and charts in social studies. It defines tables as a visual display of data arranged in columns that can emphasize or compare information. Graphs make facts easier to understand, including bar graphs, line graphs, pictographs, and pie charts. Pie charts show proportions of a whole. The document instructs how to interpret graphs by identifying information, analyzing it, and developing hypotheses. It describes bar graphs as comparing two types of information, line graphs as showing changes over time, pictographs using pictures to represent amounts, and pie charts making parts easier to compare to a whole. Steps are provided for using charts, such as reading labels and making interpretations.

Choropleth maps & generalizationmontathomas

This document discusses choropleth map generalization and how it can potentially mislead. It compares choropleth maps showing well-being data by state versus congressional district. It also provides examples of choropleth maps with different classification schemes, such as standard deviation, equal number of classes with different class sizes, to demonstrate how generalization can impact the maps.

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This document provides an overview of key topics covered in Chapter 9 of the textbook "Discovering Computers 2008". It discusses computer communications and networks, including components required for successful communications, uses of computer communications, types of networks, network communication standards, communications devices, setting up home networks, transmission media, and more. The objectives are to understand concepts like client/server networks, wireless technologies, and the infrastructure that enables computer and data transmission.

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The Quiz Club of PSGCAS brings to you a battle... Get ready to unleash your inner know-it-all! 🧠💥 We're diving headfirst into a quiz so epic, it makes Mount Everest look like a molehill! From chart-topping pop sensations that defined generations and legendary sports moments that still give us goosebumps, to ancient history that shaped the world and, well, literally EVERYTHING in between! Prepare for a whirlwind tour of trivia that will stretch your brain cells to their absolute limits and crown the ultimate quiz champion. This isn't just a quiz; it's a battle of wits, a test of trivia titans! Are you ready to conquer it all? QM: VIKASHINI G THE QUIZ CLUB OF PSGCAS(2022-25)

GENERAL QUIZ PRELIMS | QUIZ CLUB OF PSGCAS | 4 MARCH 2025 .pdfQuiz Club of PSG College of Arts & Science

Unleash your inner trivia titan! Our upcoming quiz event is your chance to shine, showcasing your knowledge across a spectrum of fascinating topics. Get ready for a dynamic evening filled with challenging questions designed to spark your intellect and ignite some friendly rivalry. Gather your smartest companions and form your ultimate quiz squad – the competition is on! From the latest headlines to the classics, prepare for a mental workout that's as entertaining as it is engaging. So, sharpen your wits, prepare your answers, and get ready to battle it out for bragging rights and maybe even some fantastic prizes. Don't miss this exciting opportunity to test your knowledge and have a blast! QUIZMASTER : GOWTHAM S, BCom (2022-25 BATCH), THE QUIZ CLUB OF PSGCAS

INDIA QUIZ FOR SCHOOLS | THE QUIZ CLUB OF PSGCAS | AUGUST 2024Quiz Club of PSG College of Arts & Science

A report on the county distress rankings in NCMebane Rash

YSPH VMOC Special Report - Measles Outbreak Southwest US 5-17-2025 .pptxYale School of Public Health - The Virtual Medical Operations Center (VMOC)

As of 5/17/25, the Southwestern outbreak has 865 cases, including confirmed and pending cases across Texas, New Mexico, Oklahoma, and Kansas. Experts warn this is likely a severe undercount. The situation remains fluid, though we are starting to see a significant reduction in new cases in Texas. Experts project the outbreak could last up to a year. CURRENT CASE COUNT: 865 (As of 5/17/2025) - Texas: 720 (+2) (62% of cases are in Gaines County) - New Mexico: 74 (+3) (92.4% of cases are from Lea County) - Oklahoma: 17 - Kansas: 54 (38.89% of the cases are from Gray County) HOSPITALIZATIONS: 102 - Texas: 93 - This accounts for 13% of all cases in Texas. - New Mexico: 7 – This accounts for 9.47% of all cases in New Mexico. - Kansas: 2 - This accounts for 3.7% of all cases in Kansas. DEATHS: 3 - Texas: 2 – This is 0.28% of all cases - New Mexico: 1 – This is 1.35% of all cases US NATIONAL CASE COUNT: 1,038 (Confirmed and suspected) INTERNATIONAL SPREAD (As of 5/17/2025) Mexico: 1,412 (+192) - Chihuahua, Mexico: 1,363 (+171) cases, 1 fatality, 3 hospitalizations Canada: 2,191 (+231) (Includes Ontario’s outbreak, which began in November 2024) - Ontario, Canada – 1,622 (+182), 101 (+18) hospitalizations

libbys peer assesment.docx..............19lburrell

YSPH VMOC Special Report - Measles Outbreak Southwest US 5-14-2025 .pptxYale School of Public Health - The Virtual Medical Operations Center (VMOC)

As of 5/14/25, the Southwestern outbreak has 860 cases, including confirmed and pending cases across Texas, New Mexico, Oklahoma, and Kansas. Experts warn this is likely a severe undercount. The situation remains fluid, with case numbers expected to rise. Experts project the outbreak could last up to a year. CURRENT CASE COUNT: 860 (As of 5/14/2025) Texas: 718 (+6) (62% of cases are in Gaines County) New Mexico: 71 (92.4% of cases are from Lea County) Oklahoma: 17 Kansas: 54 (+6) (38.89% of the cases are from Gray County) HOSPITALIZATIONS: 102 (+2) Texas: 93 (+1) - This accounts for 13% of all cases in Texas. New Mexico: 7 – This accounts for 9.86% of all cases in New Mexico. Kansas: 2 (+1) - This accounts for 3.7% of all cases in Kansas. DEATHS: 3 Texas: 2 – This is 0.28% of all cases New Mexico: 1 – This is 1.41% of all cases US NATIONAL CASE COUNT: 1,033 (Confirmed and suspected) INTERNATIONAL SPREAD (As of 5/14/2025) Mexico: 1,220 (+155) Chihuahua, Mexico: 1,192 (+151) cases, 1 fatality Canada: 1,960 (+93) (Includes Ontario’s outbreak, which began November 2024) Ontario, Canada – 1,440 cases, 101 hospitalizations

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MCQS (EMERGENCY NURSING) DR. NASIR MUSTAFADr. Nasir Mustafa

EUPHORIA GENERAL QUIZ PRELIMS | QUIZ CLUB OF PSGCAS | 21 MARCH 2025Quiz Club of PSG College of Arts & Science

GENERAL QUIZ PRELIMS | QUIZ CLUB OF PSGCAS | 4 MARCH 2025 .pdfQuiz Club of PSG College of Arts & Science

INDIA QUIZ FOR SCHOOLS | THE QUIZ CLUB OF PSGCAS | AUGUST 2024Quiz Club of PSG College of Arts & Science

A report on the county distress rankings in NCMebane Rash

YSPH VMOC Special Report - Measles Outbreak Southwest US 5-17-2025 .pptxYale School of Public Health - The Virtual Medical Operations Center (VMOC)

libbys peer assesment.docx..............19lburrell

YSPH VMOC Special Report - Measles Outbreak Southwest US 5-14-2025 .pptxYale School of Public Health - The Virtual Medical Operations Center (VMOC)

Classification of mental disorder in 5th semester bsc. nursing and also used ...parmarjuli1412

Letter to Secretary Linda McMahon from U.S. SenatorsMebane Rash

Gis Mapping Examples

1. Map Types Choose the most appropriate one based on your message, data, audience and venue

2. Standard

3. Images

4. Choropleth Unique Value

5. Choropleth Graduated Color

6. Graduated Symbol

7. Chart

8. Dot Density

9. 3-D

10. Statistical Analysis Result of a T-test performed to identify areas of significant change in deer harvest.

11. Polygon

12. Line

13. Point Data Discrete vs. Continuous Discrete Continuous

14. Large Scale Small Scale

15. Roads from USGS TIGER files 1:100,000

16. Rabies Vaccine Field Test Mapping

17. Charts . Presents complex tabular information effectively. Provides an immediate impact and takes less effort to understand. . Complements map information. Shows the same information in a different way, or provides additional information about map features.

18. Bar Chart Good for comparing values and showing trends

19. Column Chart Good for comparing values and showing trends

20. Area Chart Good for showing the relative value for each category as well as the total.

21. Cumulative Bar Chart Combines features of both the bar and area charts

22. Pie Charts Shows relationships between the parts and the whole, particularly useful for showing proportions and ratios.

23. Line Charts Emphasizes rate of change. Particularly good for representing trends over a period of time.

24. Scatter Charts Reveals trends or patterns in the data. Can help reveal associations, sometimes cause-and-effect relationships.

Gis Mapping Examples

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Gis Mapping Examples