GDAL (Python) Aggregate Raster into Lower Resolution

First, convert cells equal to 2 to 1, and not equal to 0. Create a second file using gdal_calc.py:And then to aggregate the averages of a resolution, use gdalwarp with -r average, which does:Within the Python/GDAL API, similar work can be done. The Numpy processing will be similar, except that you might need to process chunks of the input raster if it is larger than your RAM. Look at the source code for gdal_calc. py to get an idea how this can be done, if necessary.The second step of aggregating is accomplished with GDALReprojectImage, and might look something like:

GDAL (Python) Aggregate Raster into Lower Resolution 1

1. How can I aggregate wireless signals to increase speed?

I think you refer to Wireless Bonding. 802.11n and channel bonding reference, and a Linux reference.802.11n, bonding utilizes two adjacent Wi-Fi channels simultaneously to double the bandwidth of the wireless link compared to 802.11b/g

2. Market-clearing price vector in an "aggregate demand system”

You can find this in an standard graduate-level microeconomics textbook, such as Mas Colell-Whinston-Green. A solution exists with or without the assumption of gross substitutes, and does indeed use a fixed-point theorem, such as the Brouwer or Kakutani fixed point theorem. Abraham Wald has a proof for a special case that's simpler -- I think his case includes gross substitutes, but I do not know for sure. In the gross substitutes case, the solution is unique.In terms of algorithms, there is an algorithm based on Sperner's lemma due to Scharf, but practically speaking any general-purpose nonlinear solver will do. Again, there might be something special about the gross substitutes case that allows a simpler algorithm, but I do not know for sure.

GDAL (Python) Aggregate Raster into Lower Resolution 2

3. What is an aggregate demand and economic growth?

Aggregate demand is the total quantity of goods and services demanded in an economy at a given price level. If you plot the quantity demanded at each price level on a graph and connect the data points, you will get what is called an aggregate demand curve. An aggregate demand curve is downward sloping. AD= C I G X- MC= Consumer spendingI = Investment (gross fixed capital investment)G = Government spendingX = ExportsM = ImportsEconomic growth is the increase in the capacity of an economy to produce goods and services, compared from one period of time to another

4. What tools do you use to aggregate your Internet activities? [closed]

The Jon Skeet Facts page.(Sorry, could not resist.)As a more serious answer, I do not try to aggregate them at all at the moment. I use Google Reader for blogs but only blogs, Witty or the normal Twitter web page for Twitter, Google Groups for newsgroups, the "native" MSN, Skype and Google Talk clients for chat, and each of the SO-type sites separately. All horribly low tech, but I seem to get by. I am hoping that once Google Wave launches, that will consolidate things somewhat

5. Find the DDD Aggregate Root

Let's go back to the basics of the big blue book:The goal is to maintain the invariants. But it's also to manage properly local identity, i.e. the identify of objects which do not have a meaning alone. Order and Order line definitively belong to such a cluster. For example:So here the full aggregate is required to ensure consistency rules and invariants.Now, you describe some business rules, and argue that to ensure them, you would need to consider the customer as part of the aggregate:Of course, why not. Let's see the implications: the order would always be accessed via the customer. Is this real life ? When workers are filling the boxes for delivering the order, will they need to read the customer bar code and the order barcode to access the order ? In fact, in general, the identity of an Order is global not local to a customer, and this relative independence suggests to keep him outside the aggregate.In addition, these business rules look more as policies: it's an arbitrary decision of the company to run their process with these rules. If the rules are not respected, the boss might be unhappy, but the data is not really inconsistent. And moreover, overnight "per customer one undelivered order at a time" could become "ten undelivered orders per customer" or even "independently of the customer, hundred undelivered orders per warehouse", so that the aggregate might no longer be justified

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