Hot answers tagged literature
Spatial Statistics is probably classic example here. Also Spatial Data Analysis offers solid overview Statistical Methods for Spatial Data Analysis, Geospatial Analysis - a comprehensive guide and Geographic Information Analysis will give you nice overview as well. Another, more practical oriented way to go would be to look at R. Have a look at CRAN ...
Start here: http://www.qgis.org/en/about-qgis/faq.html Q: I want to cite Quantum GIS in my thesis. What is the correct citation reference of the Quantum GIS project A: To cite QGIS software in your piece of work, for work or an assignment, this general citation might be helpful: "Quantum GIS Development Team (YEAR). Quantum GIS Geographic ...
Good question. While http://gpgpu.org is a good resource, it is quite general (the first G stands for General, after all). Searching there for GIS I get only one hit from 2004, which links to a paper that is 404. Manifold is the only vendor I'm aware of leveraging the GPU for GIS. Hoopoe sure looks interesting, which also administers CUDA.NET.
This paper: Christophe & Ruas 2002, Detecting Building Alignments for Generalisation Purposes, ISPRS, Ottawa. describes an operational method for the detection of small surfaces (buildings) alignements - it should work even better with points! (this method is rather robust since it is used for the production of 1:25000 maps in France).
Part of the ESRI Applications Prototype Lab's DevSummit presentation was on GPU for GIS. The video link appears to be borked, but a lengthy blog post contains a good summary and introduction to GPU computing wrt GIS. Also, Azavea (formerly Avencia) has won some NSF grants to investigate this area further, and they have a series of blog posts that appear ...
I've been using Manifold GIS for years, and though at times a target of derision for a variety of reasons, the software is quite impressive. The current version (8.0.18 at time of writing) uses CUDA to accelerate surface operations 100x or so. The long awaited version 9 promises to both improve on that level of acceleration and to broaden the scope of its ...
I hate to trudge up the past, but I would suggest anyone interested in point pattern analysis in general to check out Ned Levine's references for the CrimeStat program. It is a huge reference for a wide variety of point pattern analysis aimed at laymen (its much more generalizable than to simply crime analysis). Programmers may also be interested in the ...
You can seach in the EPSG geodetic parameter dataset here: http://www.epsg-registry.org/ Search for 6372 on the retrieve by code tab.
There is some experimental work for porting parts of GDAL to use GPU, via OpenCL. See, for progress, this recent email. The source-code might be instructive.
A starter keyword for you is GPGPU. You can snag a book on GLSL or HLSL which are the respective languages/platforms for OpenGL and DirectX. You could use proprietary computing platforms like Nvidia CUDA or AMD CTM. But if you want a hint of sanity you may want to check out the somewhat new OpenCL standards.
Two common point clustering methods are the Hierarchical clustering and the k-means clustering. See also on wikipedia. If you are interested in the way spatial structures of points are perceived, have a look at the so-called "gestalt perception laws". A concrete use case is in cartography. Spatial structures of map symbols have to be detected and assessed ...
You can start with this article: CORRECTING DEM EXTRACTED FROM ASTER STEREO IMAGES BY COMBINING CARTOGRAPHIC DEM ABSTRACT: The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) on-board the NASA's Terra spacecraft provides along-track digital stereo image data at 15m resolution with a base-height ratio 0.6. Automated ...
Sounds like a 'Level of Service' type analysis? The Transportation Research Board have published a 'Transit capacity and quality of service manual' - containing a section specifically on 'Quality of Service', and the analysis of the various measures of quality of service. http://www.trb.org/Main/Public/Blurbs/153590.aspx An example of how this has been ...
Only top voted, non community-wiki answers of a minimum length are eligible