The Arizona Trail is divided into 43 passages. The list below contains all of the passages in order from south to north. Passage Map refers to the downloadable map available for this passage. The Passage Profile refers to the downloadable trail elevation profile available for this passage. The Track and Waypoints refer to downloadable GPS data. Clicking on a passage name will bring up more detailed information about that specific passage.
The Arizona Trail is a work in progress. The trail is complete and well-signed, however, sections may change or be rerouted (due to wildfire, environmental, or administrative decisions). The track and waypoints data offered here attempt to provide the best available information. Check back for the latest versions using the databook change log.
The Passage GPS data below are digitized datasets representing the Arizona National Scenic Trail. They have been exported from GIS (Geographic Information Systems) software and reduced in detail to enable each passage to be loaded onto any GPS, no matter the memory size. These are very good for navigational purposes. Waypoint GPS files relate to the Databook; Waypoint MP files are the mileposts running south to north.
You can download a file containing all of the current Arizona Trail GPS data in a format that is displayable on Google Earth. If you are not familiar with Google Earth, you can go to the Google Earth download page to learn about it and download the FREE software. Once you have this software installed, or if you already have it, click on the link below to download the Google Earth/Arizona Trail data file. Save this file on your computer and then open it using Google Earth.
Object storage, also known as object-based storage, is a flat structure in which files are broken into pieces and spread out among hardware. In object storage, the data is broken into discrete units called objects and is kept in a single repository, instead of being kept as files in folders or as blocks on servers.
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Databases can be organized in many different ways, and thus take many forms. The most popular form of database today is the relational database. Popular examples of relational databases are Microsoft Access, MySQL, and Oracle. A relational database is one in which data is organized into one or more tables. Each table has a set of fields, which define the nature of the data stored in the table. A record is one instance of a set of fields in a table. To visualize this, think of the records as the rows of the table and the fields as the columns of the table. In the example below, we have a table of student information, with each row representing a student and each column representing one piece of information about the student.
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As organizations have begun to utilize databases as the centerpiece of their operations, the need to fully understand and leverage the data they are collecting has become more and more apparent. However, directly analyzing the data that is needed for day-to-day operations is not a good idea; we do not want to tax the operations of the company more than we need to. Further, organizations also want to analyze data in a historical sense: How does the data we have today compare with the same set of data this time last month, or last year From these needs arose the concept of the data warehouse.
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