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By Rachel Starry When I first started working on my dissertation project, all I really knew was that I wanted to explore cities. Roman architecture has a lasting presence in the landscapes of places as far removed from each other as Scotland and Libya, Filemaker pro dissertation along with the growth of trade and communication networks under the Roman Empire, cities across the Mediterranean all developed similar styles of public architecture, so that as you stroll through the ruined marble colonnades of a town on the coast of Spain, you could easily mistake your surroundings for a town in central Turkey.
The visual power that these remains hold even today is fascinating, and as I set out on this project, I was determined to take a fundamentally comparative approach in order to explore the paradox underlying this apparently universal appearance of Roman cities. That is, although Roman architecture appears everywhere, I am most interested by the remarkable ways that local landscapes and the people inhabiting these ancient cities shaped those buildings into their own unique expressions of urban life in the provinces.
The city of Tlos in Lycia southwestern Turkeyviewed from the acropolis. Naturally, the next step was to create a database to organize this evidence into an easily accessible format. I decided to use the relational database program FileMaker Pro to do this, since it is standard software in my field, and over the course of many months inputting data on building plans, measurements, dates estimated by archaeological and inscriptional evidence, and numerous other Filemaker pro dissertation of information, my database took shape.
In the end, it had over buildings and complexes, some of which included multiple architectural features, and I was then faced with the task of figuring out what to do with all of this information. Snapshot of an entry in my FileMaker Pro database. Although FileMaker Pro is an excellent database management program, it does not have much built-in functionality to help users explore or visualize their data in a way that can make patterns or connections between different data items readily apparent.
Around the same time that I was becoming overwhelmed with the sheer amount of information I had assembled on the architecture from my six Lycian sites, I was introduced to the programming language R by multiple different sources all at once, by happy coincidence.
It not only has excellent built-in graphing capabilities for data visualization and exploration, but because it is open-source, its globally active community of users are constantly creating new packages that you can download and install for added functionality.
The result is that, no matter what types of research questions you want to ask about your dataset, there is almost always an R package out there that can help you address those questions. Since R makes it easy to work with tabular data data arranged into rows and columns, like in most spreadsheets and databasesI exported my database as a.
Abbreviated view of my dataset as exported to R. My approach to analyzing ancient urban remains is primarily spatial; so for any particular monument or building, I want to understand where in a city it was located and how its placement within the urban and physical landscape shaped the ways that people interacted with it or experienced it on a daily basis.
The spatial connections between and among different monuments, complexes, and urban spaces can be modeled as a network. Like a social network, where each node in the network is a person and each edge represents a connection between people, I believed that modeling the connections between buildings and urban spaces could reveal interesting ways that the urban landscape was arranged.
This package uses one of the most popular graphing packages in R, ggplot2 created by Hadley Wickhamto visualize network data. To use ggnetwork to plot the architectural layouts of my cities as nodal networks, it took me the extra step of creating a data table from my original dataset which added the pedestrian connections between complexes, but the results were very interesting.
These nodal network diagrams allowed me to visualize, at a glance, how the architectural arrangement and pedestrian experiences of these Lycian sites compare across the region. Nodal network diagrams created using R package ggnetwork.
Another of my primary research questions relates to the types of buildings that appear in different parts of an ancient city, as well as the frequency of certain building types in the different cities in Lycia. Were monumental arches more likely to appear inside agoras? Are baths more common at some sites than at others?
R allowed me to visualize the data and explore these questions very easily, as I was able to write short scripts to graph the data and re-run those scripts as many times as needed for each city or micro-region.
Below are some examples of the exploratory graphs I created in this stage of my research. Exploratory graphs created using R package ggplot2.
Once I had explored these questions, the patterns that became evident formed the basis for additional research and explanatory analysis using the standard interpretive tools of archaeology.FileMaker Pro is a cross-platform relational database application from FileMaker Inc., formerly Claris, a subsidiary of Apple Inc.
It integrates a database engine with a GUI-based interface, allowing users to modify the database by dragging new elements into layouts, screens, or forms. For my dissertation, I collected data digitally using calipers directly connected to my computer; for the first field school I taught I tested forms in HanDBase (an iOS app that interfaces with Microsoft Access) and later Filemaker Pro and Filemaker Go.
All of these systems, while intended to make data collection simpler, easier and more. Pro essay - If you need to know how to compose a perfect research paper, you are to study this Dissertations and resumes at most affordable prices.
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FileMaker Pro uses ODBC drivers to share data and to interact with data from other applications. Relational support: Create one-to-one or one-to-many relationships with your data.
Back to top. FileMaker Platform. FileMaker Pro Advanced. FileMaker Go. FileMaker WebDirect. FileMaker Server. FileMaker Cloud. Platform. FileMaker Pro Training and Tutorials. Learn how to create a database, make tables, or perform database management.
These FileMaker Pro tutorials explain fundamental skills, including how to find and sort data, create reports, and diagram relationships. Although FileMaker Pro is an excellent database management program, it does not have much built-in functionality to help users explore or visualize their data in a way that can make patterns or connections between different data items readily apparent.