Downloading data

1. In a web browser, go to the University of Pittsburgh Comparative Archaeology Database at http://www.cadb.pitt.edu/.
2. Click Datasets by Goegraphic Region >>.
3. Scroll down to the CENTRAL AMERICA section.
4. Click on the dataset assigned to your project group: Rio Tonosi Valley, San Ramón de Alajuela, Masaya, OR Volcán Barú. (NOTE: The demonstration was performed using Upper Térraba.)
5. Scroll down to THE DATASET section.
6. Under the Spatial Information section, the coordinate system is listed. Record this information.
7. Under the Spatial Information section, click Collection lots:.
8. Click the DXF file link to download.
9. On the browser, click the back button to return to your main dataset webpage.
10. Under the Numeric Data section, click ?
11. Scroll to the bottom and click the XLS file link to download

Importing CAD (.dxf or .dwg) data into a file geodatabase

1. If the Geoprocessing pane is not already open, click the Analysis tab on the ribbon. In the Geoprocessing group, click the Tools button.
2. In the Geoprocessing pane, search "cad" and click the CAD to Geodatabase tool.
3. For 'Input CAD Datasets', click the Browse... button and navigate to and select the .dxf file and click OK.
4. For 'Output Geodatabase', leave the default project geodatabase with your site name.
5. For 'Dataset', leave the default name, which should be a combination of the original CAD file name and the name of the tool "CADToGeodatabase".
6. For Spatial Reference, click the Select coordinate system button and navigate to the coordinate system indicated In the ANTH 355 Reference in Google Drive.
7. Click Run.

Splitting CAD layers

1. In the Geoprocessing pane, if necessary, hit the Back arrow to return to the tool search interface.
2. Search "split" and click the Split By Attributes tool.
3. For 'Input Table', use the drop-down menu to select the converted CAD layer you wish to split.
4. For 'Target Workspace', click the Browse... button and navigate to and single click your project geodatabase with your site name and click OK.
5. For 'Split Fields', select the Layer field.
6. Click Run.

Assigning lot IDs to lot polygons

1. Return to the Catalog pane and add the lot polygon layer, as indicated in the Google sheet to your map. Your annotation point layer should already have been added to your map.
2. Return to the Geoprocessing pane, search "join" and click the Spatial Join tool.
3. For 'Target Features', use the drop-down menu to select your lots polygon layer.
4. For 'Join Features', use the drop-down menu to select your Annotation (containing the lot IDs) point layer.
5. For 'Output Feature Class', rename the feature class "LotsWithIDs".
6. Leave the rest of the defaults and click Run.

Add new field

1. remove original lots, polygon, annotation

2. Figure out whether to do this in class or outside meetings or follow written instructions

3. TxtMemoClean

   TxtMemo.strip()

    

4. After join, show sort missing and reverse join to see which don't have it, or symbolize by join count (we don't have time for data cleaning)

5. Export with join

Data Cleaning

How to replace nulls with zero so that the variables show up.

Joining

1. Add formatted Excel spreadsheet
2. In the Contents pane, right-click the LotsWithIDs layer and select Joins and Relates > Add Join.
3. For 'Layer Name or Table View' keep Lots with id
4. For 'Input Join Field', scroll down to the very bottom and select TxtMemo
5. For 'Join Table', select outside Excel table
6. For 'Output Join Field', Select Lot, exact name is in Google spreadsheet.
7. 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.
8. (Can repeat the join process with multiple tables to create a single mega-table)

Symbology Topics

1. Variables: Total sherds
2. Total sherds for each time period, pick 2 that contrast well for demo
3. Decorated in one period, normalized by total in one period to symbolize percent decorated in that period

Make Group Layers

1. Right-Click on Map and select New Group Layer.

Symbology Instructions

1. In the Contents pane, right-click the LotswithID layer name and selectSymbology to open the Symbology pane on the right.
2. For 'Primary symbology', use the drop-down menu to select Graduated Colors (assuming you have numeric data).
3. For 'Field', use the drop-down menu to select your Field of interest (e.g. Total Sherds). 
4. For Methods, previewing Natural Breaks is default, also try Quantile, then think about both implications of numbers and also rounding to easy numbers if exact statistical breaks are less important than quick interpretation by your reader.
5. number of classes, we recommend 3 or 4 if possible, no more than 5 unless you spend a lot of time customizing the colors
6. 5/10/25/100 for total sherds
7. Color ramps, format color scheme and triangle button to flip ramp, show adjusting individual colors in the ramp
8. 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
9. For full zoom out, might want to completely remove borders
10. In Contents pane, copy lots with id layer and right-click Map at top of Contents pane and paste, do 3 copies for 4 total (Chirqui Decorated/Chiriqui sherds) (Total quebradas vs total chiriqui)
11. The symbology pane applies to whichever layer is selected in the Contents pane,

Normalized Graduated Colors

1. In the Symbology pane, for 'Normalization', select the population universe field, if a percentage is desired.
2. Click Advanced symbol options button (4th button with paintbrush) at top of Symbology pane.
3. Expand Format labels, for category, select Percentage.
4. Change radio button to Number represents a fraction if you values are between 0 and 1.
5. For decimal places, pick something like 0 or 1.

Copy layers

1. In the Contents pane, right-click the LotsWithID and select Copy
2. At the top of the Contents pane, right-click the name of the map, likely "Map" and select Paste. This can be repeated for as many layers of interest.

Notes

1. What are they handing in?
   1. Appendix, inset, side x side frames
   2. directional dist, opt hot spot, cluster outlier, kernal density