e matching with a dedicated component which creates combinations of items. You can find the [Cross Reference] component in the Sets.List panel.
When Grasshopper iterates over lists of items, it will match the first item in list A with the first item in list B. Then the second item in list A with the second item in list B and so on and so forth. Sometimes however you want all items in list A to combine with all items in list B, the [Cross Reference] component allows you to do this.
Here we have two input lists {A,B,C} and {X,Y,Z}. Normally Grasshopper would iterate over these lists and only consider the combinations {A,X}, {B,Y} and {C,Z}. There are however six more combinations that are not typically considered, to wit: {A,Y}, {A,Z}, {B,X}, {B,Z}, {C,X} and {C,Y}. As you can see the output of the [Cross Reference] component is such that all nine permutations are indeed present.
We can denote the behaviour of data cross referencing using a table. The rows represent the first list of items, the columns the second. If we create all possible permutations, the table will have a dot in every single cell, as every cell represents a unique combination of two source list indices:
Sometimes however you don't want all possible permutations. Sometimes you wish to exclude certain areas because they would result in meaningless or invalid computations. A common exclusion principle is to ignore all cells that are on the diagonal of the table. The image above shows a 'holistic' matching, whereas the 'diagonal' option (available from the [Cross Reference] component menu) has gaps for {0,0}, {1,1}, {2,2} and {3,3}:
If we apply this to our {A,B,C}, {X,Y,Z} example, we should expect to not see the combinations for {A,X}, {B,Y} and {C,Z}:
The rule that is applied to 'diagonal' matching is: "Skip all permutations where all items have the same list index". 'Coincident' matching is the same as 'diagonal' matching in the case of two input lists which is why I won't show an example of it here (since we are only dealing with 2-list examples), but the rule is subtly different: "Skip all permutations where any two items have the same list index".
The four remaining matching algorithms are all variations on the same theme. 'Lower triangle' matching applies the rule: "Skip all permutations where the index of an item is less than the index of the item in the next list", resulting in an empty triangle but with items on the diagonal.
'Lower triangle (strict)' matching goes one step further and also eliminates the items on the diagonal:
'Upper Triangle' and 'Upper Triangle (strict)' are mirror images of the previous two algorithms, resulting in empty triangles on the other side of the diagonal line:
…
ake a modest notice about the two new Ladybug components, one of which creates a 3d terrain shading mask and another one which visualizes and exports horizon angles. A terrain shading mask is essentially a diagram which maps the silhouette of the surrounding terrain (hills, valleys, mountains, tree tops...) around the chosen location, and account for the shading losses from the terrain. It can be used as a context_ input in mountainous or higher latitude regions for any kind of sun related analysis: sunlight hours analysis, solar radiation analysis, view analysis, photovoltaics/solar water heating sunpath shading...
My home town is an example of the shading caused by the terrain. Here is how it looks from the tallest building in the town:
And the created terrain shading mask:
A mask for any land location up to 60 degrees North can be created:
There will also be a support for a few major cities above this limit.
Both Terrain shading mask and Horizon angles components can be downloaded from here. An example .gh file can be found in here.
Component will prompt the user to download and copy certain files in order to be able to run.
It was created with assistance from Dr. Bojan Savric. Support on various issues was further given by: Dr. Graham Dawson, Dr. Alec Bennett, Dr. Ulrich Deuschle, Andrew T. Young, LiMinlu, Jonathan de Ferranti, Michal Migurski, Christopher Crosby, Even Rouault, Tamas Szekeres, Izabela Spasic, Mostapha Sadeghipour Roudsari, Dragan Milenkovic, Chen Weiqing, Menno Deij-van Rijswijk and gis.stackexchange.com community.
I hope somebody might find the components useful.…
st between those two applications. But as soon as every frame is re-calculated I noticed that intersection function is very slow. It is actually so slow, that maximum number of polygons to play with is only 10 or less.
Could you help me to find a faster solution for my script?
calculation of intersection lines;
//////////////////////////////////////////////////////////////////////////////////////////
import ghpythonlib.components as ghcompimport rhinoscriptsyntax as rsdef ctr(crv): pts = ghcomp.Explode(crv)[1] pts = ghcomp.CullDuplicates(pts,0.001)[0] return ghcomp.Average(pts)pts = []lines = []ctr_c1 = ctr(C1)for crv in C2: if ctr(crv) != ctr_c1: int = ghcomp.CurveXCurve(C1, crv)[0] if int: [pts.append(x) for x in int] lines.append(rs.AddLine(int[0],int[1]))
/////////////////////////////////////////////////////////////////////////////////////////////
The overall description of the script:
a)Processing+ghowl is used for moving objects and physics
b)python script (slowest part) calculates intersection lines
c)intersected parts of polygons are rotated in 90 degrees.
I have attached grasshopper and processing files. (processing is not necessary to test the script)
Thank you in advance,
Pereas.
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" (idiomatic) and easy way of doing things.So here come some basic questions:
Is there a way to create custom components by grouping an existing sub-network together? I'm looking for a way to re-use parts of a program (something similar to subroutines), and to make the network look less cluttered. I found that it is possible to group components (ctrl-g), but this still displays them as separate blocks (too much clutter), and provides no way to re-use a sub-network in such a way that if it is modified in one place, all it's instances (all the places where it is re-used) also get modified.
Is there a component that does nothing, just passes a signal through? Suppose I need to connect block A to blocks B1, B2, B3 (all three get the same input). Then I change my mind, and I decide to connect block C to these three, not A. In this case it will be necessary to change three connections, not just one. I'm looking for an easy way to do this by a single rewiring, not three. (This came up in a practical situation).
Finally, a related question: is there a component that acts as a switch, so I can choose which signal it passes through out of a possible set of choices? For example, suppose that a set of objects can be coloured based on a number of different properties (size, positions, rotation, etc.) I'm looking for a way to switch between these very easily, without the need to do much rewiring.
Thank you in advance for any replies / useful comments, even general ones on how to easily structure a large Grasshopper program/network.…
ers and researchers, programmers and artists, professionals and academics who come together for 4 days of intense collaboration, development, and design.
The sg2012 Workshop will be organised around Clusters. Clusters are hubs of expertise. They comprise of people, knowledge, tools, materials and machines. The Clusters provide a focus for workshop participants working together within a common framework.
Clusters provide a forum for the exchange of ideas, processes and techniques and act as a catalyst for design resolution. The Workshop is made up of ten Clusters that respond in diverse ways to the sg2012 Challenge Material Intensities.
Applicants to the sg2012 Workshop will select their preferred cluster from the following:
Beyond Mechanics
Micro Synergetics
Composite Territories
Ceramics 2.0
Material Conflicts
Transgranular Perspiration
Reactive Acoustic Environments
Form Follows Flow
Bioresponsive Building Envelopes
Gridshell Digital Tectonics
More information about the Workshop and Clusters can be found here:
http://smartgeometry.org/index.php?option=com_content&view=article&id=116&Itemid=131
The application process will close on January 15th, 2012.
Full Fee $1500
Reduced Fee $750
Scholarship Fee $350
Fees include attendance to both the workshop and conference from March 19th-24th.
Reduced Fee and Scholarships are available only for Academics, Students and Young Practitioners, and are awarded during a competitive peer review process.
sg2012 takes place from 19-24 March 2012 at EMPAC (http://empac.rpi.edu/) and is hosted by Rensselaer Polytechnic Institute in Troy, upstate New York USA. The Workshop and Conference will be a gathering of the global community of innovators and pioneers in the fields of architecture, design and engineering.
The event will be in two parts: a four day Workshop 19-22 March, and a public conference beginning with Talkshop 23 March, followed by a Symposium 24 March. The event follows the format of the highly successful preceding events sg2010 Barcelona and sg2011 Copenhagen.
sg2012 Challenge Material Intensities
Simulation, Energy, Environment
Imagine the design space of architecture was no longer at the scale of rooms, walls and atria, but that of cells, grains and vapour droplets. Rather than the flow of people, services, or construction schedules, the focus becomes the flow of light, vapour, molecular vibrations and growth schedules: design from the inside out.
The sg2012 challenge, Material Intensities, is intended to dissolve our notion of the built environment as inert constructions enclosing physically sealed spaces. Spaces and boundaries are abundant with vibration, fluctuating intensities, shifting gradients and flows. The materials that define them are in a continual state of becoming: a dance of energy and information. Material potential is defined by multiple properties: acoustical, chemical, electrical, environmental, magnetic, manufacturing, mechanical, optical, radiological, sensorial, and thermal. The challenge for sg2012 Material Intensities is to consider material economy when creating environments, micro-climates and contexts congenial for social interaction, activities and organisation. This challenge calls for design innovation and dialogue between disciplines and responsibilities. sg2010 Working Prototypes strove to emancipate digital design from the hard drive by moving from the virtual to the actual in wrestling with the tangible world of physical fabrication. sg2011 Building the Invisible focused on informing digital design with real world data. sg2012 Material Intensities strives to energise our digital prototypes and infuse them with material behaviour. They have the potential to become rich simulations informed by the material dynamics, chemical composition, energy flows, force fields and environmental conditions that feed back into the design process.
More information can be found at http://www.smartgeometry.org
Follow us on Twitter at http://twitter.com/smartgeometry…
Added by Shane Burger at 12:29pm on December 13, 2011
umbrella of Urban Heat Island (UHI) and I am going to try to separate them out in order to give you a sense of the current capabilities in LB+HB.
1) UHI as defined as a recorded elevated air temperature in an urban area:
If you have access to epw files for both an urban area and a rural area, you can use Ladybug to visualize and deeply explore the differences between the two weather files. Ladybug is primarily a tool for weather file visualization and analysis and it can be very helpful for understanding the consequences of UHI on strategies for buildings or on comfort. This said, if you do not have both rural and urban recorded weather data or you want to generate your own weather files based on criteria about urban areas (as it sounds like you want to do), this definition might not be so helpful.
2) UHI defined by air elevated air temperature but viewed as a computer model-able phenomenon resulting primarily from urban canyon geometry, building materials, and (to a lesser degree) anthropogenic heat:
This definition seems to fit more with they type of thing that you are looking for but it is unfortunately very difficult and computationally intensive such that we do not currently have anything within Ladybug to do this right now. I can say that the state-of-the art for this type of modeling is an application called Town Energy Budget (TEB) and this is what all of the advanced UHI researches that I know use (http://www.cnrm.meteo.fr/surfex/spip.php?article7). Unfortunately for those trying to use it in professional practice, it can take a while to get comfortable with it and it currently runs exclusively on Linux (this does mean that it is open source, though, and that you can really get deep into the assumptions of the model). A couple years ago, a peer of mine translated almost all of TEB into Matlab language making it possible to run it on Windows if you have Matlab. He wrapped everything together into a tool called the Urban Weather Generator (UWG), which can take an epw file of a rural area and warp it to an urban area based on inputs that you give of building height, materials, vegetation, anthropogenic heat, etc. I would recommend looking into this for your project, although, bear in mind that is it not open source like the original TEB tool and that you may need to get a (very expensive) copy of MATLAB (http://urbanmicroclimate.scripts.mit.edu/uwg.php).
3) UHI as defined by a thermal satellite image of an urban area depicting an elevated average radiant environment that reaches a maximum a the city center and changes by land use:
This is the definition of UHI that I am most familiar with and was the basis of much of my past research. I feel that it is also a definition of UHI that is a bit more in line with where a lot of contemporary UHI research is headed, which is away from the notion of UHI as a macro-scale meteorological phenomena that is averaged as an air temperature over a huge area towards one that accepts that different land uses have different microclimates and (importantly) different radiant environments. While the air temperature difference between urban and rural areas usually does not change more than 1-4 C, the radiant environment can be very different (on the order of 10-15 C differences). The best way to understand UHI in this context is with Thermal satellite images, for which there is ha huge database of publicly available data on NASA's glovis website (http://glovis.usgs.gov/) or their ECHO website (http://reverb.echo.nasa.gov/reverb/#utf8=%E2%9C%93&spatial_map=satellite&spatial_type=rectangle). I tend to use thermal data from LANDSAT 5-8 and ASTER satellites in my research. Unfortunately, there is a lot f bad data with a lot of cloud cover mixed in with the really good stuff and it can take some time to find good images. Also, there aren't too many programs that read the GeoTiff file format that you download the data as. I know that ArcGIS will read it, a program called ENVI will read it (I think that the open source QGIS can also red it). I have plans to write a set of components to bring this type of data into Rhino and GH (I may get to it a few months down the line).
4) UHI as a computer model-able notion of "Urban Microclimate" with consideration of local differences and the local radiant environment:
This is where a lot of my research has lead and, thankfully, is an area that Honeybee can help you out a lot with. EnergyPlus simulations can output information on outside building surface temperatures and these can be very helpful in helping get a sense of the radiant environment around individual buildings. Right now, I am focusing just on using this data to fully model the indoor environments of buildings as you see in this video:
https://www.youtube.com/watch?v=fNylb42FPIc&list=UUc6HWbF4UtdKdjbZ2tvwiCQ
I have plans to move this methodology to the outdoors once I complete this initial application to the indoors. For now, you can use the "Surface result reader" and the "color surfaces based on EP result" components to get a sense of variation in the outside temperature of your buildings.
I hope that this helped,
-Chris
…
oxes in the most efficient way within boundaries of object and follow the following constraints. The Goal: To fit 125 boxes in the most efficient way inside the total area. Starting Variables: (1) 40% of the Boxes need to be between 60 and 85MSQ. (2) 40% of the boxes need to be between 86 and 110MSQ.
(3) 20% of the boxes need to be between 111 and 125mSQ. The breakdown doesn’t have to be exact to give the script some flexibility. Meaning you can have 41% +39% +20% = 100%.
Constraints:
1. A total MAXIMUM area of approximately 1600M per layer.
2. A maximum of 8 layers for a total of 12,800M per layer. Optimization can make as little or as many as 8 layers vertical to accommodate all boxes. So if script can achieve with 3 levels great. If needed all 8 levels, that's fine too. However, pay attention to next constraint (#3).
3. Approximately 15% of that space on each layer is off limits. (internal area) (blue area in example script) and the shape of the boundary cannot be modified to accommodate box design resulting in jagged lines for the internal area.
4. All generated squares/rectangles must have at least 3m touching an outside border (The Green lines).
5. All boxes must also be touching minimum 1M of border of the blue line.
6. If the boxes generated go outside the green boundary, they must be fillet to maintain the straight lines of the green boundaries.
7. Get as many of the boxes as possible a view towards the dots.
Could any one provide me a method or a way to start, if there are any useful links, please share with me. Thank you!…
Boxes in the most efficient way within boundaries of object and follow the following constraints.
The Goal: To fit 125 boxes in the most efficient way inside the total area. Starting Variables:
(1) 40% of the Boxes need to be between 60 and 85MSQ. (2) 40% of the boxes need to be between 86 and 110MSQ.
(3) 20% of the boxes need to be between 111 and 125mSQ. The breakdown doesn’t have to be exact to give the script some flexibility. Meaning you can have 41% +39% +20% = 100%.
Constraints:
1. A total MAXIMUM area of approximately 1600M per layer.
2. A maximum of 8 layers for a total of 12,800M per layer. Optimization can make as little or as many as 8 layers vertical to accommodate all boxes. So if script can achieve with 3 levels great. If needed all 8 levels, that's fine too. However, pay attention to next constraint (#3).
3. Approximately 15% of that space on each layer is off limits. (internal area) (blue area in example script) and the shape of the boundary cannot be modified to accommodate box design resulting in jagged lines for the internal area.
4. All generated squares/rectangles must have at least 3m touching an outside border (The Green lines).
5. All boxes must also be touching minimum 1M of border of the blue line.
6. If the boxes generated go outside the green boundary, they must be fillet to maintain the straight lines of the green boundaries.
7. Get as many of the boxes as possible a view towards the dots.
Could any one provide me a method or a way to start, if there are any useful links, please share with me. Thank you!
…
re is my problem... I need to arrange Boxes in the most efficient way within boundaries of object and follow the following constraints.
The Goal: To fit 125 boxes in the most efficient way inside the total area. Starting Variables:
(1) 40% of the Boxes need to be between 60 and 85MSQ. (2) 40% of the boxes need to be between 86 and 110MSQ.
(3) 20% of the boxes need to be between 111 and 125mSQ. The breakdown doesn’t have to be exact to give the script some flexibility. Meaning you can have 41% +39% +20% = 100%.
Constraints:
1. A total MAXIMUM area of approximately 1600M per layer.
2. A maximum of 8 layers for a total of 12,800M per layer. Optimization can make as little or as many as 8 layers vertical to accommodate all boxes. So if script can achieve with 3 levels great. If needed all 8 levels, that's fine too. However, pay attention to next constraint (#3).
3. Approximately 15% of that space on each layer is off limits. (internal area) (blue area in example script) and the shape of the boundary cannot be modified to accommodate box design resulting in jagged lines for the internal area.
4. All generated squares/rectangles must have at least 3m touching an outside border (The Green lines).
5. All boxes must also be touching minimum 1M of border of the blue line.
6. If the boxes generated go outside the green boundary, they must be fillet to maintain the straight lines of the green boundaries.
7. Get as many of the boxes as possible a view towards the dots.
Could any one provide me a method or a way to start, if there are any useful links, please share with me. Thank you!
…
ce issue with Rhino and shouldn't make an issue with EnergyPlus but just to have cleaner geometries, I untrimmed base surfaces so zones are closed brep now.
I also noticed that when you are adding multiple openings to a surface, the surface doesn't show-up in the output of createHBZoneFromHBSurfaces. The surfaces are there though and show up once you explode the zone! Again should be a tolerance issue for join. I need to take a closer look to both of these.
Also, in a number of the zones you had wall surfaces connected to createZoneFromHBSurfaces both before and after adding glazing. I removed parent surfaces so you don't end up having duplicate surfaces.
Back to adjacency which was your question, the issue happens since you have couple of zones with the same name so component was assuming them to be the same zone so it wouldn't solve the adjacency (Yes! it shouldn't. That was a bug which is fixed now). I changed the names and now it should find the surfaces that you are looking for.
Moreover, once you solve the adjacency, next solveAdjacency won't overwrite the BC unless you set remCurrentAdj to True.
Mostapha…