My current thinking is that I will have each building be a separate model and link them into a 'central/sheet' model where i can print from. I am trying to figure out whether or not the topography and site elements should be a linked in model as well. What is best practice?

I tried both method and both works. It all comes down to how complicated the building will be and what phase it will get built. If the building gets built together, I would create sheet in those model. If the model is built on separate phase and time frame, i would make each model having their own separate sheet.


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Thank you for your reply. So I have done it for a project previously just without the topography. Likely they will be separate submittals, however each building will share a lot of the same sheets wall sections, details and general code sheets. There is also a potential for an all inclusive construction set. For me and my team this just dumbs down the sheet coordination process and we have seen a huge benefit ex. not having duplicate dumb sheets in each file with dummy drafting views just placed on a sheet so we can tag them on each building's plans. i could go on but i will spare you.

Since we know that i would like to print everything from a central/sheet model, what do you think is best practice for handling the topography? should i link it into the final central/sheet model or model it in the central sheet model? i think i like linking it in, this way i can load it into the individual building models and adjust the buildings with knowing what i am working with. Thoughts?

During vesicular trafficking and release of enveloped viruses, the budding and fission processes dynamically remodel the donor cell membrane in a protein- or a lipid-mediated manner. In all cases, in addition to the generation or relief of the curvature stress, the buds recruit specific lipids and proteins from the donor membrane through restricted diffusion for the development of a ring-type raft domain of closed topology. Here, by reconstituting the bud topography in a model membrane, we demonstrate the preferential localization of cholesterol- and sphingomyelin-enriched microdomains in the collar band of the bud-neck interfaced with the donor membrane. The geometrical approach to the recapitulation of the dynamic membrane reorganization, resulting from the local radii of curvatures from nanometre-to-micrometre scales, offers important clues for understanding the active roles of the bud topography in the sorting and migration machinery of key signalling proteins involved in membrane budding.

Since the mechanochemical considerations invoked above are purely physical in nature, in vitro model membranes can be used for recapitulating them to clarify the fundamental mechanisms for the compositional inhomogeneity produced by the bud-neck topography. Here, using a lipid bilayer model supported on a complex surface topography that mimics the membrane curvature patterns generated during a budding event, we report on the sorting dynamics and the equilibrium distribution of membrane lipids, that is, higher-order spatial organizations of CHOL- and sphingomyelin (SPM)-enriched raft microdomains25,26 producing ring-rafts in the collar band of a bud.

Hi everyone, so I've loved using Rhino but one thing I notice it struggles with is creating topographical surfaces from contours in a way that's at all accurate to the real topo. I know that at a larger scale (say a mountain range) it's pretty accurate, but when I'm trying to do a model for an urban landscape that has finely detailed hills, ramps, and mounds (all at a pretty small scale, 5-10' vertical change or so) I notice that Rhino tends to smooth over changes in height in a way that makes the model pretty inaccurate. Hills will turn into very small bumps, and other parts will just entirely ignore the topo lines.

This study describes the further extension of the resonant recognition model for the analysis and prediction of protein--protein and protein--DNA structure/function dependencies. The model is based on the significant correlation between spectra of numerical presentations of the amino acid or nucleotide sequences of proteins and their coded biological activity. According to this physico-mathematical method, it is possible to define amino acids in the sequence which are predicted to be the most critical for protein function. Using sperm whale myoglobin, human hemoglobin and hen egg white lysozyme as model protein examples, sets of predicted amino acids, or so-called 'hot spots', have been identified within the tertiary structure. It was found for each protein that the predicted 'hot spots', which are distributed along the primary sequence, are spatially grouped in a dome-like arrangement over the active site. The identified amino acids did not correspond to the amino acid residues which are involved in the chemical reaction site of these proteins. It is thus proposed that the resonant recognition model helps to identify amino acid residues which are important for the creation of the molecular structure around the catalytic active site and also the associated physical field conditions required for biorecognition, docking of the specific substrate and full biological activity.

Topographic Maps are a 2D way to show elevation and shape on a map. As long as you know how to read them, you should be able to visualize what that area looks like on the actual Earth. But this isn't always easy! 3D models are an easier way to see what the Earth looks like - this is an easy set of instructions to make your own 3D model of an area shown on a topographic map.

Obviously, you are making a 3D model of a topographic map so you will need a topographic map to start with. I chose a map that I use in my class while teaching topographic maps of the Big Island of Hawaii!

Once I cut it out, I took a piece of foam paper, which is what I used to make my model. You may be using cardboard, paper with foam shapes, or something else thick to show elevation. No matter what, this is the first step of many. You're going to place the outline of your map - your first layer - on top of whatever you're using. I placed mine of the foam paper and traced the shape with a pen.

You will continue to cut, trace and glue onto your 3D model from here on out! I made each of my layers different colors so they stood out. I had 2, actually 3, hills on my topo map so I had to make sure to keep those parts of the maps to add later. See the next step on how to tackle that!

When designing Tiny Topography I wanted to deliver a product that enabled you to have a little slice of your travels on your office desk and the concept expanded from there to also feature framed wall mounting as well as stand alone models.

Another core design aim of Tiny Topography is that these models should be handled. They are beautifully tactile and we have designed a unique magnetic mounting system into every model so even if you choose a desktop or framed wall mount for your Tiny Topography the model can be instantly snapped on and off its mount.

Tiny Topography is fully custom and we can produce a topographic model of any topographic location so you can be assured that the place with your special memories can be made specially for you or your lucky gift recipient.

This beautifully minimal mount is designed to allow you to display your Tiny Topography on a desktop. Perfect for bringing memories of your travels to the home or work office. Your model Magnetically attaches to the angled stand so you can enjoy its tactility easily. The desktop mount also features an area for a laser etch for a location name or custom message

Perfect for wall mounting or standing on side tables the framed mount includes an open fronted frame with four magnetic attachment points for your Tiny Topography so the model can be easily removed and reattached. Also featuring a laser etch for the location name or a custom message this mounting option is a great option. The frame is 250mm x 250mm and can be stood up using the built in stand on the back or hung on a wall.

Once your order is received we will generate a 3d model of your location as a proof and provide that proof to you via email. At that point if you would like any changes it is no issue at all and we can produce further proofs until you are happy with the location shown. If you decide that your location doesn't work as you hoped it would during the proofing process it is no problem to cancel and we will issue a full refund. You can feel confident when it comes to ordering a location that is unique to you.

My scene currently consists of a huge topography model (Mill. Verticies). Now the scene becomes more complex and contains many smaller 3D objects. Does it make sense to switch from a QFrambufferObject (with C ++ / OpenGL) to Qt3D?

What do you mean by reload? Do they change dynamically in the model? Or do you mean re-render? There's QFrustumCullung but that seems to render the whole entity still. Do you know whether your object consists of multiple parts? Because when Qt3D loads models (i.e. whole scenes) from files I think it persists its structure. If your model is split into multiple standalone components it could be that QFrustumCulling improves rendering speed because they don't get drawn when they are not viewed.

I'm a 5th year Architecture Student and working on creating 2.4m x 1.2m Topography model for our site at a scale of 1:500. I really love grasshopper however am still quite inexperienced with it but am trying to force myself to use it in all my projects so I can learn a little more each time.

I was lucky enough to get hold of a set of points depicting the site topography which have around 60m variance throughout the site, and have used this to generate a mesh giving me a surface. What i'd like to do is use this to create a load of layers trimmed to the mesh, then lay them out and number then so I can nest them and laser cut them.

Abstract. Although elevation data are globally available and used in many existing hydrological models, their information content is still underexploited. Topography is closely related to geology, soil, climate and land cover. As a result, it may reflect the dominant hydrological processes in a catchment. In this study, we evaluated this hypothesis through four progressively more complex conceptual rainfall-runoff models. The first model (FLEXL) is lumped, and it does not make use of elevation data. The second model (FLEXD) is semi-distributed with different parameter sets for different units. This model uses elevation data indirectly, taking spatially variable drivers into account. The third model (FLEXT0), also semi-distributed, makes explicit use of topography information. The structure of FLEXT0 consists of four parallel components representing the distinct hydrological function of different landscape elements. These elements were determined based on a topography-based landscape classification approach. The fourth model (FLEXT) has the same model structure and parameterization as FLEXT0 but uses realism constraints on parameters and fluxes. All models have been calibrated and validated at the catchment outlet. Additionally, the models were evaluated at two sub-catchments. It was found that FLEXT0 and FLEXT perform better than the other models in nested sub-catchment validation and they are therefore better spatially transferable. Among these two models, FLEXT performs better than FLEXT0 in transferability. This supports the following hypotheses: (1) topography can be used as an integrated indicator to distinguish between landscape elements with different hydrological functions; (2) FLEXT0 and FLEXT are much better equipped to represent the heterogeneity of hydrological functions than a lumped or semi-distributed model, and hence they have a more realistic model structure and parameterization; (3) the soft data used to constrain the model parameters and fluxes in FLEXT are useful for improving model transferability. Most of the precipitation on the forested hillslopes evaporates, thus generating relatively little runoff. 17dc91bb1f

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