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The data behind the

    graphic
Right click the
         theme to get this
           dialog menu.




Click “Open Attribute Table” to
see the data behind the graphic
“Options” button
  provides another
  dialog menu that
    lets you work
   with table data


                  Field Names or Columns


Rows or Records


  Add a new field,
  that can then be
   “calculated” or
  manually entered

        A table can be added to a layout
               or exported as DBF
Name of New
  Field (10
 Characters)




Field Type
 Options
Symbology properties

    are different depending
    on if you are working
    with points, lines, or
    polygons.
    The easiest is to work

    with is Single Symbol
    features where
    everything in the layer
    is displayed using the
    same symbol
    Can use nominal,

    ordinal, ratio or interval
    data
Some symbol methods may not be useful (pie

    charts for example)
    Markers

Some symbol methods may not be useful (pie

                          charts for example)
                                Lines or Arcs
Nominal (categories), Ordinal, Interval and Ratio
  
      (Quantities) can be used with different methods
      Fills and outlines
  

                                               Nominal data
                                                 example




Ratio Data
 Example
Category data

    symbology
    comes next
    It displays data

    by unique values
    of a field, or
    multiple fields
    Nominal, ordinal,

     ratio or interval
    data
Next, comes the
 
            quantities
           symbology
              method
  It uses a number
    field in the table
  to display data by
    classified values
 Ratio and interval
                  data
Six different ways to classify data, with an

    added manual method for infinite freedom
Equal Interval

    Defined Interval

    Quantile

    Natural Breaks

    Geometrical Interval

    Standard Deviation

Categorical (Qualitative)

        Grouping based on some quality
    ◦
        Labels or categories
    ◦
        E.g.; Sex = Male or Female
    ◦
        Nominal or Ordinal
    ◦
         Nominal the order is not important
           E.g.: Sex = male or female
         Ordinal the order is important
           E.g.; Rank = Officer, Sergeant, Lieutenant, etc
    ◦ Can be binary or non-binary
         Binary = only two values (male or female)
         Non-Binary = More than two (red, blonde, brunette, etc)
Measurement (Quantitative)

    ◦ Grouping based on some quantity or value
    ◦ Always numbers
    ◦ Discrete or continuous
      Discrete = only certain values are possible and data
       could have gaps (1, 2, 3, or 4)
      Continuous = Any value along some interval (any value
       between 1 and 4 (ie: 3.24211)
    ◦ Interval or ratio
      In interval data the interval between values is important
       (ie; temperature of 30 compared to 110 means
       something)
      Ratio data is the best, and the “0” value can be
       informative (ie; a grid can have 0 crimes, or any value
       up to infinity)
http://www.socialresearchmethods.net/kb

    /index.php
Number of
    Equal Interval (ratio, Interval)
                                                 classes desired
    ◦ The range between the classifications is   thedetermines
                                                      interval
      same




                                                      Take the
                                                  high value-low
                                                   value and for
                                                   each of the 5
                                                 classes, the value
                                                     is 199.61
Defined Interval (ratio, interval)

    ◦ Similar to the equal interval, but here, we
      define what the interval will be and thus
      establish the classes




                                               In this case the
                                               interval was set
                                                to 150, and so
                                                the number of
                                                   classes is
                                                determined by
                                                  the interval
Quantile (ratio, interval)

    ◦ A percentage of the values in the class
      falling with the range. Each class contains
      an equal number of features.




                                             Each of the 10
                                             classes has the
                                            same number of
                                             features within
                                              each class, or
                                            makes up 10% of
                                            the total records
Natural Breaks (ratio, interval)

    ◦ Breaks the data where there are natural
      holes between values




                                     Use test exam score example
Geometrical Interval (ratio, interval)
    
        ◦ This is a classification scheme where the
          class breaks are based on class intervals
          that have a geometrical series. This
          ensures that each class range has
          approximately the same number of values
          with each class and that the change
          between intervals is fairly consistent.
 The interval is
determined by a
   geometric
equation (large
   and small
    changes
 depending on
 breaks in data)
Standard Deviation (ratio, interval)

    ◦ Classes are determined by mean and
      standard deviation of values. Can display
      by 1, ½, ¼ standard deviations as needed
Right click the theme and choose properties,
   
       then choose the Labels tab


                                                You can
                                             combine fields
                                              for labeling
  Can label all
  features the
 same, or use a
 query to label
    features
   differently

                                               Infinite text
                                                 choices
Use a field in the
   data for the
  labels that is
      good




 Control over placement options, scale
  at which labels draw and styles are
               available
Use to select data by a SQL query


                    Click this

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Fundamentalsof Crime Mapping Arc Gis Tables

  • 1.
  • 2. The data behind the  graphic
  • 3. Right click the theme to get this dialog menu. Click “Open Attribute Table” to see the data behind the graphic
  • 4. “Options” button provides another dialog menu that lets you work with table data Field Names or Columns Rows or Records Add a new field, that can then be “calculated” or manually entered A table can be added to a layout or exported as DBF
  • 5. Name of New Field (10 Characters) Field Type Options
  • 6. Symbology properties  are different depending on if you are working with points, lines, or polygons. The easiest is to work  with is Single Symbol features where everything in the layer is displayed using the same symbol Can use nominal,  ordinal, ratio or interval data
  • 7. Some symbol methods may not be useful (pie  charts for example) Markers 
  • 8. Some symbol methods may not be useful (pie  charts for example)  Lines or Arcs
  • 9. Nominal (categories), Ordinal, Interval and Ratio  (Quantities) can be used with different methods Fills and outlines  Nominal data example Ratio Data Example
  • 10. Category data  symbology comes next It displays data  by unique values of a field, or multiple fields Nominal, ordinal,  ratio or interval data
  • 11. Next, comes the  quantities symbology method  It uses a number field in the table to display data by classified values  Ratio and interval data
  • 12. Six different ways to classify data, with an  added manual method for infinite freedom
  • 13. Equal Interval  Defined Interval  Quantile  Natural Breaks  Geometrical Interval  Standard Deviation 
  • 14. Categorical (Qualitative)  Grouping based on some quality ◦ Labels or categories ◦ E.g.; Sex = Male or Female ◦ Nominal or Ordinal ◦  Nominal the order is not important  E.g.: Sex = male or female  Ordinal the order is important  E.g.; Rank = Officer, Sergeant, Lieutenant, etc ◦ Can be binary or non-binary  Binary = only two values (male or female)  Non-Binary = More than two (red, blonde, brunette, etc)
  • 15. Measurement (Quantitative)  ◦ Grouping based on some quantity or value ◦ Always numbers ◦ Discrete or continuous  Discrete = only certain values are possible and data could have gaps (1, 2, 3, or 4)  Continuous = Any value along some interval (any value between 1 and 4 (ie: 3.24211) ◦ Interval or ratio  In interval data the interval between values is important (ie; temperature of 30 compared to 110 means something)  Ratio data is the best, and the “0” value can be informative (ie; a grid can have 0 crimes, or any value up to infinity)
  • 17. Number of Equal Interval (ratio, Interval)  classes desired ◦ The range between the classifications is thedetermines interval same Take the high value-low value and for each of the 5 classes, the value is 199.61
  • 18. Defined Interval (ratio, interval)  ◦ Similar to the equal interval, but here, we define what the interval will be and thus establish the classes In this case the interval was set to 150, and so the number of classes is determined by the interval
  • 19. Quantile (ratio, interval)  ◦ A percentage of the values in the class falling with the range. Each class contains an equal number of features. Each of the 10 classes has the same number of features within each class, or makes up 10% of the total records
  • 20. Natural Breaks (ratio, interval)  ◦ Breaks the data where there are natural holes between values Use test exam score example
  • 21. Geometrical Interval (ratio, interval)  ◦ This is a classification scheme where the class breaks are based on class intervals that have a geometrical series. This ensures that each class range has approximately the same number of values with each class and that the change between intervals is fairly consistent. The interval is determined by a geometric equation (large and small changes depending on breaks in data)
  • 22. Standard Deviation (ratio, interval)  ◦ Classes are determined by mean and standard deviation of values. Can display by 1, ½, ¼ standard deviations as needed
  • 23. Right click the theme and choose properties,  then choose the Labels tab You can combine fields for labeling Can label all features the same, or use a query to label features differently Infinite text choices Use a field in the data for the labels that is good Control over placement options, scale at which labels draw and styles are available
  • 24. Use to select data by a SQL query  Click this