![]() ![]() As a result, McHarg created a systematic method for thinking about the data needed to answer these questions. This model came from Ian McHarg’s belief that “many of the problems that society confronts are of such inordinate complexity that it takes the greatest of dedication and seal to assemble the necessary data, analyze, and prescribe” (McHarg, 1992, p. Ian McHarg is well known for his layer-cake model for inventorying human, biotic, and abiotic systems (Steiner, 2008). When we seek to answer where is the study area, we seek to understand how it is bounded and why? We also seek to know what we need data for, for which geography, at what scales, at which classification, for which times, from what sources, at what cost, and in which mode of representation? Implementing this plan requires obtaining the data, organize them in an appropriate technology, visualize the data over time and space, and organize them to be shared among the members of the geodesign team. What are its physical, ecological, economic, and social histories?.What are its physical, ecological, economic, and social geographies?.During this step of the process we seek to answer the following questions: Representation models help frame the geographic context and systems with which we are dealing. Hence, the imperative nature of the first two steps in the geodesign process. The more complicated the problem and processes the need for rigorous documentation, communication, and analyses need to be, to ensure public safety, allow further testing and critique, and ensure that we are using the most effective and appropriate data and methods. Additionally, we need to understand the interplay between a variety of systems. However, if we are working regionally on watershed issues we need complex datasets and analyses to see how hydrology works across the regions, the number of people and amount of infrastructure that are impacted by the floodplain. Even from this level of data collection we can see evidence if a house sites in the floodplain. As these risks increase serious scientific information and robust documentation and analyses are needed.Īnother example: if we are designing a garden space for a home owner we can probably get away with a few site visits, hand produced, surveyed base maps and little else in terms of data or analyses. However, if all buildings in a city use copper roofs and walls, thus causing heavy metal pollution of the regional drinking water supply, it is a very important risk. For example, if a single building uses a material or style we do not like, it really does not negatively impact our daily lives. It is because of this that we must be meticulous in our planning, communication, and choices of methods. Also, as the size increases the publics knowledge and understanding decreases. The size of the study area is important because as size of the area increases so do scientific complexity and the level of risk for harmful impact if you make a mistake. Carl Steinitz also does a great job of describing how size matters (Steinitz, 2012). Using this Padlet answer the question: List a project you have or are currently working on and briefly explain how different scales of thinking, data, or problem definition would impact how you proceed(ed) on this project.Īdditionally, size matters. Think about the principles of scale and how they impact your work. ![]() In other words at what scale should we design: site, neighborhood, municipal, regionally, nationally, global? Should we work at all levels simultaneously? Carl Steinitz, A framework for geodesign: changing geography by design, illustrates the principles of scale very well in Chapter 2 of your readings for this course. This has also been referred to as high resolution, specifically when speaking of high-resolution data. In landscape architecture, planning, and geodesign a larger scale means a closer more detailed view. Scale refers to the lens through which we will look at our study area, including the level of detail we choose to consider or ignore. There are several components to geography: scale and size. As mentioned, in the introduction geography matters, it provides us with the relevant context in framing our design problems, issues, goals, and objectives that we discussed last week. ![]() So what are representation models and why are they important? Representation models help us plan our geodesign project and relate it to the geographic context of the area being studied. Week 03 - Lecture Part 1 Representation Models: Methods and Techniques Representation Models ![]()
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