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13

There are some major differences in the two products, so it isn't exactly "apples to apples". Fusion Tables is extremely easy to use, just load in some data and you can have a Google Map displaying your data in no time. The back-end doesn't matter at all, you just need a place to store data and start working with it. So Fusion Tables is more of a ...


12

store all your parcels in one central database formulate a grid over the USA made of squares N feet on a side, where N is such that the number of parcels that fit within N will not blow out the memory on one of your nodes create a table in your database with one row per grid square, an id column a geometry column and a status column each node runs a small ...


11

Cloud computing is basically the act of moving data or computations to servers that are distributed all over the world instead of a computer that is tied to one physical location. You then use a client, such as a web browser, to access your data/computing power from anywhere that has an internet connection. Think of it as the difference between owning a ...


10

Fusion Tables has storage limitations where AWS/EC2 is fully scalable to 5000TB. S3 users could only store objects up to 5GB. Amazon Web Services has decided to lift that limit and allow block storage up to 5TB http://aws.amazon.com/s3/#pricing Fusion storage limits - 250 MB per user account: 1 million characters per cell. And upload limits - 1 MB per ...


9

It really depends on the size of the datasets you are talking about and the complexity of your queries. I for example run pretty happily on a GoGrid server /PostGIS / Windows 2008 (32-bit) running IIS, a mix of PHP/.NET homegrown webservices with 2GIG ram/ dual core. The main spatial table I query has about 6 million records I think of mostly California ...


9

Dropbox/Google Drive work on the principle that when a file gets modified, it will upload the file into the cloud. Then when your on your other machine, it will download the latest copy. This works great for small files. GIS data can often be large filesizes. If I edit one feature attribute in a layer that is 2GB big, there will be a lot of ...


9

Assuming you are looking for a web mapping with hosting managed for you and various sorts of vector query then one option might be CartoDB. It is backed by a postgres/postgis DB and lets you do various sorts of visualization and mapping without having to setup any services yourself. It includes free options for small tables but you might find you are ...


8

There were an interesting slot on FOSS4G in September in Barcelona about this: http://2010.foss4g.org/presentations_show.php?id=3584 It became more of a panel discussion than a presentation. In the middle of this blog post Paul Ramsey gives some kind of summary from that.


7

I have done several projects in this regard, but at the end they always ended up being custom solutions that basically separated the problem in grids did the processing in each individual node and copied the result to a temp table / data store merged all the solutions to a single result table and optionally handled boundary conditions. Handling boundary ...


7

This is a viciously broad question. It depends heavily on what your resources are, and what your goals are. On the simple end, if you're just looking to be able to query GIS data, you could simply load it into a desktop application like QuantumGIS along with a generic basemap (if you need it). On the other hand, If you're trying to build a web application ...


7

you should check out following cloud based slutions. Qgis Cloud - Publish your own maps directly from the desktop! It's free to get started and sign up is instant. Publish your first map within minutes. Amazon Web Services - Amazon EC2 provides an ideal environment for running your ArcGIS Server applications. Amazon EC2 allows you to quickly configure ...


6

Here is a page with answers to common questions: Questions and Answers about ArcGIS Server on Amazon EC2 And here's a recorded training seminar: Running ArcGIS Server on Amazon EC2


6

It's one thing to add data, it's another to keep it current. I note that the Open Street Map data listed on AWS hasn't been updated since Oct 2009. I'd like all the Canadian public data from Geobase.ca and GeoGratis to be available on some well performing public access service, be it AWS or ArcGIS Online or ..., but only if it's going to keep pace with ...


6

stored in file geodatabases File geodatabases are the enemy of open source - if you change this to PostGIS or shapefiles, or similar, you'll have more luck. Otherwise you're looking for a ton of features. You'll have some luck with GeoServer, but otherwise you might want to reconsider the scope of what you're looking for.


6

Update: Nowadays I prefer Plunker for this, primarily because it allows you to create any number of files. This lets you create more realistically sized/organized demo apps, rather than stuffing everything into one HTML/JS/CSS file. Here's a nice Leaflet example: http://plnkr.co/edit/Y9uk2G?p=info I have found JSBin and JSFiddle to be extremely useful in ...


5

A VM in the cloud gives you a quicker, lower-cost startup. You can get running immediately with no machine purchase costs. Also there are fewer system maintenance issues. If you're short on IT skills or assistance then that's something to consider; esp for 24/7 coverage. Instant scalability is another advantage. But obviously the initial costs of your own ...


4

A global highest resolution Landsat mosaic. SRTM


4

The smallest possible census block data for most of the world and not just US, also be able to access some of the data and do analysis on it


4

The ArcGIS Server Blog has a number of posts about EC2.


4

If you are in the data creation business, I don't think that there is any substitute for Desktop GIS. The limiting factor in these cases, is the large sizes of data, which would take an inordinate time over any kind of network. The strength of Cloud based GIS is when you have a centralised server, serving out data, and viewing and limited editing ...


4

I think it is going to move from desktop to cloud, and here's why. I currently run virtual training courses where the users log on to Amazon virtual machines to do the exercises. Similarly, if I want to do some testing I just fire up a machine and get to work. It's simple, it's configurable, and it's efficient; and I think it's going to soon reach the ...


4

My suggestion would be to use the osgeo stack. Specifically, I have used this stack in the Amazon Cloud (AWS) to serve out large raster and vector data sets. Postgresql with postgis stores my vector data Geoserver / Geowebcache servers the vector data and tiles those large datasets for serving. Everything runs through the browser using OpenLayers. I ...


3

Thinkgeo seems to have some info. aws.amazon.com There also seems to be an AMI ready built. geonetwork Standard Instances Small Instance (Default) 1.7 GB of memory, 1 EC2 Compute Unit (1 virtual core with 1 EC2 Compute Unit), 160 GB of local instance storage, 32-bit platform Large Instance 7.5 GB of memory, 4 EC2 Compute Units (2 virtual cores with 2 ...


3

I've been in discussion with esri. If you are loooking to learn, but not deploy commercially. They allow to "bring your own license" with the EDN (ESRI developer network for a couple of k). Otherwise you have to either pay for the AMIs they have or bring your own license "commercial". There is no open sandbox so to speak. After that it is "just" like ...


3

I'd like to see the National Hydrography Dataset (NHD) added. Assuming the data would be made available as geometric networks in file geodatabases (similar to what can be downloaded), I'd be able to provide an SOE that performs network traces. I realize this is a large dataset, but feel it would benefit a lot of environmental efforts. Besides, with a ...


3

FYI , a white paper of ESRI about Estimating the Cost of a GIS in the Amazon Cloud


3

From Experience the cloud option outweighs your own dedicated server. Why Scaleable - not days or weeks but done in minutes. It can also be downscaled in the future. (go from 10gb to 1tb - 4 core to 16 cores) As CDBrown mentions - Uptime and very rarely downtime. 99.98% This alone outweighs your own server. (when is goes down 4.59pm on Friday afternoon) ...


3

As I see it here are some things to consider. For Amazon Cloud - offsite virtual environment - security and scalable up time - 0 downtime - admin available where ever you are Against Amazon Cloud - need to place expensive software on someone else's machine - need to place possibly sensitive data on someone else's machine - need to spend a lot of time ...


3

One of the key benefits of cloud computing is scalability and cost. In a cloud-based setup, you might have 1 virtual server running your GIS application (e.g. a web application showing flood events across the country). As demand for the application rises, new virtual machines switch on/off (automatically if thats how you set things up). In the middle of ...



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