Versions Compared

Key

  • This line was added.
  • This line was removed.
  • Formatting was changed.
Comment: Migrated to Confluence 5.3

...

    1. In the Contents pane, right-click the LotsWithIDs layer and select Attribute Table. Scroll to the right and ensure that your variables are appearing okay.
    2. (Can repeat the join process with multiple tables to create a single mega-table)
    3. Right-click LOTS_withID and select Export Features.
    4. For Output Feature Class, type "Lots_withData"
    5. Click Run.Lots_withData

SYMBOLOGY

Basic Symbology with Graduated Colors

...

    1. At the top of the Contents pane, right-click on Map and select select New Group Layer.
    2. Drag and drop the related layers on top of the group layer.

...

    1. For 'Methods', preview Natural Breaks and Quantile at a minimum, referring to both the table and the histogram and think about the impacts on the appearance of the map.
    2. After your examination, you will likely want to round the values to facilitate quick interpretation (unless exact statistical breaks, such as quantile are required for another reason.) (In the demo, we rounded to 5/10/25/100 for Total Sherds)
    3. For 'Classes', we recommend reducing the number to 3 or 4, if possible, and no more than 5, unless you spend time customizing the colors to ensure the can be easily distinguished on the map.
    4. For 'Color scheme', use the drop-down menu to select the color ramp of your choice.
    5. To customize the color scheme, use the drop-down menu to select select Format color scheme....
    6. Click the triangle-shaped Reverse color scheme button to flip ramp.
    7. To adjust the colors used in a Continuous Color Scheme, click on one of the Stop color sliders and then use the Color drop-down menu below to select the desired color.
    8. To customize the polygon borders, in the Symbology pane, at the top-right of the Symbol table, click More and select format all symbols, properties tab, change outline color and/or width. For a map fully zoomed out, you will likely might want to completely remove the borders or the borders will completely obscure the fill colors of the polygon.

LAYOUTS

To create a new layout:

    1. On the ribbon, click the Insert tab and click the New Layout button.
    2. For a full page map intended for an appendix, select Letter 8.5" x 11", either Letter or Landscape depending on the aspect ratio of your intended content.

      Info

      If you were inserting an image into the body of your report or preparing it for a presentation, you would instead want to select Custom page size... and make something 6.5" wide for the body of a report or 7.5" x 10" for Presentation or 7.5" x 13.33" for wide screen.

To add map framesAdding your Map Frame:

    1. On the ribbon, click the Insert tab, click the Map Frame button and select the Map with a scale (e.g. 1:50,000).
    2. Click and hold the mouse button to draw a box on the page.

To create Create even borders:

    1. On the ribbon, click the contextual Map Frame Format tab.
    2. In the Size & Position group, type 7.5 x 9.5 for Width and Height.
    3. Type 0.5 x 0.5 for X and Y for the positioning from the bottom left corner of the page.

Adding inset maps into layout:

    1. Insert

...

    1. map frame

...

    1. again
    2. To pan and zoom within the layout, right click on the

How to activate map

    1. Right-click on Map Frame and Activate.Pan and zoom as desired.click Activate
    2. Click red X to close activation.
    3. Select inset map
    4. In Contents pane, zoom to lots w/ data layer.

To insert an extent rectangle on the inset map.

    1. Ensure that the inset map is selected in the Layout View.
    2. On the ribbon, click the Extent Indicator button and click Map Frame.

To convert remove Service Layer Credits:

    1. Click Dynamic text, click Service Layer Credits, drag a box
    2. Basemaps Credit in sources section of report, but take off map.

...

    1. Insert tab, Text group, Rectangle text button.
    2. Drag box in white space at top
    3. Type in title (e.g. "Appendix A: Total Sherds)
    4. At the top of the Element pane, click the Text Symbol tab.
    5. Expand the Appearance section to change font, something liek like 24 pt.
    6. Right-click text box > Align > Align to page
    7. Right-click text box > Align > Align to center

...

    1. Weighted by Quebradas sherds
    2. Repeat with 3 other eras

...

Kernel density

To the layperson, when we say we would like to create a hotspot map, we are typically actually talking about a

...

kernel density map. 

To convert features to points:

    1. On the Geoprocessing pane, go to Feature to Point
    2. Input Features would be any of your lot with data layers
    3. For the name of the input feature, choose the 'Lots_withData' input and add the word 'Centroid'
    4. Click 'Run'

Now, go back to the geoprocessing pane and search up "Kernel density"

    1. Input point or polyline features
      1. Choose the input that you just made, which is the 'Lots_withDataCentroid' input
    2. Population field
      1. Choose the field you want
    3. Output raster
      1. Name of the variable you're working on
    4. Output cell values
      1. Choose "Expected counts"
    5. Click 'Run'

One thing you may notice is that because this is a raster layer, we're seeing the grid cells.

Make sure that in the contents pane, your kernel density layer is selected.

If you go to the raster layer appearance tab in the ribbon, in the rendering group, there is a "Rendering type" button where you can change the view ex. nearest neighbor, linear, cubic.

The lower the choice, the smoother the cells will appear.

To choose the color ramp, click the layer in the contents pane, then press "Symbology" in the lower right corner of the geoprocessing pane.

Spatial Statistics Tools

Cluster and Outlier Analysis

    1. Input Feature
      1. Choose the 'Lots_withData' input
    2. Input Field
      1. Choose the one with the same counts (that you used before in Kernel Density)
    3. Run the rest with defaults
    4. Click 'Run'

Optimized hot spot

Cluster outlier