Using a strong visual model rich in data should help make that change both welcome and understandable to the community.ArcGIS Security Update for Flexera CVE-2016-10395 概要 Ottawa Street North is a neighborhood with a strong historical sense of place that is undergoing significant change. Once the model is uploaded to a web scene, stakeholders will be able to view the design and make comments. Existing cga rules can be easily edited Source:Adele PierreĪfter adding these elements to the model, it should be possible to calculate some of the resulting impacts both in cooler paved surfaces, and better storm water infiltration. New CGA (Computer Generated Architecture) rules can be written, or existing rules edited to accomplish the same task. After collecting all relevant data I will go back to the model to create procedural rules for bioswales and green roofs.
Before continuing the model, I will be consulting with businesses and residents to get their thoughts and ideas on creating a greener streetscape. I have loaded the buildings, streets, parks and parking lots into CityEngine.
Shapefiles are very large, so while they can be imported directly into CityEngine it is more efficient to load the files into a GIS program first and select the area in which you want to work. Most cities now offer this service, and anyone working in the field of Geodesign can easily find a wealth of information.
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To obtain relevant information, I browsed the City of Hamilton Open Data portal, to download shapefiles. Given the neighbourhood, this is an area that has had very little attention from open source mapping. The project is near the industrial area of Hamilton Ontario, Canada, on Ottawa Street North. The next step, and current project, is to create a design for an existing urban streetscape that will provide some much needed greenery as well as aiding stormwater infiltration. Create a small Geodesign project using available GIS data With a few of these additions, you can have a believable skyline and building mass model in a short amount of time. Here is an instance where a few iconic buildings could be modelled in SketchUp, imported into the asset folder of the relevant CityEngine project, and dragged and dropped right into the model. (See short tutorial here) ( web scene) Building Maass of Lower Manhattan created in CityEngine, Source:Adele PierreĬityEngine specializes in quick model generation, so while the building footprint and height are true, any special features of the building need to be modelled separately. The scene was then uploaded to ArcGIS web viewer and made public. Buildings were generated in less than a minute. Because Lower Manhattan is such a well-documented area, the OSM file was rich in analytical information. Working from the previous Figureground, all shapes were selected and OSM chosen in the Inspector window as the height source. (See short tutorial here) Figure Ground of Lower Manhattan created in CityEngine, Source:Adele Pierre 2. Importing only the building layer resulted in a quick and effective Figure Ground. Open Street is open source so it works best with a well-known city, in this case Lower Manhattan. I tried importing data from Open Street Maps (OSM). A simple project using real data.ĬityEngine supports a wide range of file formats. Here are just a few of the uses I have found for CityEngine as a landscape architecture student learning the software: 1. The challenge is greater setting up specific projects. After watching a few of the tutorials it is quite simple to generate a new city. There are two excellent sets of tutorials provided by Esri, one from 2012 and the other 2015. As changes are made to a design, impacts become immediately apparent.
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It differs from many other software programs not only in speed of modelling, but in the powerful analytics embedded right in the model.
Having said that, the program is very powerful and worth the time invested. I found CityEngine to have a fairly steep learning curve, especially if you are not that familiar with modeling and parametric design. My approach to this fairly new software is to just dive in and try it, seeing how intuitive the program is. Besides being a quick way of generating an entire community, the models generated can contain analytical information such as zoning, square footage or energy consumption. For example, buildings can vary between set heights and styles, and a mix of residential and commercial use specified. Procedural rules are a shortcut to modelling you set the parameters and the information for everything from building height to bike lane width, then apply the relevant rule to the pertinent layer. A few months ago, I was introduced to CityEngine, a 3D modeling software program from Esri that uses ‘procedural rules’ to quickly generate entire cities.
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