We start with ArcCatalog because we start with the data and then we analyze, and map. ArcCatalog is the module in which you manage your data (which will eventually be quite complex). ArcCatalog is designed to resemble (eerily) Windows Explorer, so some of it will come naturally. You should: How would you copy some files from one directory to another? Why would you do that? Answer these questions for yourself. You don’t have to submit the answers to us. Well, ArcCatalog is fun for a little while, but sooner or later the beige maps get kind of old. ArcMap is where you do most of the mapping ArcToolbox is the GIS powerhouse. It is where you can analyze and DESTROY datasets in a matter of seconds. You can access from either ArcMap or Arc Catalog – look on the toolbar. Notice that you can create your own set of tools and keep them in a custom toolbox. If you worked in an office with specialized tasks, that could be really important. Now that you�ve learned some of the basics of ArcCatalog and ArcMap, let�s get into the fun stuff, displaying your data. You will have to hand in answers to the bulleted questions as part of your assignment, so you may want to take notes on them as you work through the lab. You can write your final answers on the back of the map you hand in. Although we’ll talk more about them as the semester progresses, you should by now be a little familiar with map projections. Now we can take a look at them. Open ArcMap and add \ad-rscdatateachintgeoClassWorkavdataworldcntry04 and latlong. Right click in the data frame and open its properties. Click on the Coordinate System tab. In the Predefined folder, you can choose between Geographic Coordinate Systems and Projected Coordinate systems. Insert a new data frame. Add to it \ad-rscdatateachintgeoClassWorkavdatausastates and cities. Display only those cities that are state capitols (hint: definition query tab in the cities layer properties). Use the measuring tool to measure the distance between Sacramento, Ca and Trenton, NJ. We are now going to make a variety of State maps, displaying 2003 population data in a few different ways. Remove the cities layer from your dataframe. Now you will make a Choropleth Map, using the Symbology tab of the states layer. Under quantities you will find an option for graduated colors. Display the 2003 population data. Now play around with the classification and normalization. Now add states again. You can add the same data layer many times and change each one individually. With this one we will make a map of the US using graduated symbols instead of graduated colors. The display changes dramatically. Add states again. This time make a dot density population map. Change the dot value to equal 200,000. Now try 20,000. You can also change the color and size of your dots. Now say you would like to look at a US population map, but you also want to know what region each state is in. To do this, add states again. Choose multiple attributes under the symbology tab. This allows you to put both attributes onto one map. Insert a new data frame and name it hopewell. Add \ad-rscdatateachintgeorowanarc8classhopewellhoperoad and hopegeol. Use the symbology tab to look at the hopegeol map using the prim-geol field. Now label features. All of the polygons are now labeled, but this can be overwhelming. How can we label only what we want labeled? Go to the layer properties window and then the labels tab. Now label only those polygons that have an area greater than 1.0×107. You can also change the size, font and color of your labels. Now activate the hoperoad layer. Label all roads. Notice when you zoom in more and more roads are labeled. So now you know some of the many, many ways to display your data. How are you going to make a printable map out of all this? What do you need to make a map complete? Go to the layout view. You will have all your data frames on this layout. You can delete the ones you don’t wont, and you can activate a data frame to make changes to it by clicking on it in the layout or right-clicking on the data frame name in the table of contents and selecting activate. For a good map, you need the following elements: data, title, legend, data source, north arrow and scale bar. Your title, legend labels, etc. should be clear yet concise. Source.