What Is Spatial Sampling?

Researchers who want to determine the distribution of certain properties over geographic space are usually faced with sampling limitations. For example, a mining company that wants to know the percent content of ore in a mine can't test every inch of the mine's area to determine its contents. The company might instead use spatial sampling to test representative samples across the entirety of the mine to estimate the total value of the mine. DefinitionSpatial sampling is a process by which a number of samples are taken to determine the contents of a larger geographic area. Each sample point contains information on the variable of interest at that spatial location. The overall distribution

Related to : What Is Spatial Sampling?
What Is Spatial IQ?
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In "A Framework of Intelligence," Robert Kamp defines spatial intelligence (or spacial IQ) as relating to "mental rotation, mirroring, translation, comparing shapes, estimation of angles and relative distances and searching." In other words, it relates to your ability to recognize objects and shapes, and see how they relate to one another. If you can look at pieces of a puzzle and see how they fit together or look at a Rubik's Cube and determine how to solve it before you have touched it, you are using spatial IQ. Howard Gardner's Multiple IntelligencesSpatial IQ is part of Howard Gardner's theory of multiple intelligences. In 1983, Gardiner speculated that rather than the two traditional
Spatial agent models / spatial emergent behaviour [on hold]
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I am trying to use R to model grids of agents that change their decisions based on the decisions of other agents in their direct proximity. Basically - each agent looks to the other agents around him on the grid, and might change its behaviour based on the the actions around him. I have included some sample dinky-toy code per below to show (one iteration) of such dynamic.I am wondering whether a) there is an elegant manner to address the boundaries of the grid (currently the t+1, i+1 code does
Conversion of MySQL spatial query with intermediate tables to PostGre spatial query
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Hi All,
I have the following query which was based on a working query in MySQL:
(dont be afraid of the size of the query you see below, later on I will concentrate on part of this query)
SELECT count(*) FROM ((SELECT * FROM tileinfo where julianDay BETWEEN DATE2JDAY((2003-03-01 00:00:00),0) AND DATE2JDAY((2003-03-01 23:59:59 ),0) AND intersects(tile, geomFromText(POLYGON((-10.84 35.8,18.14 35.8,18.14 59.41,-10.84 59.41,-10.84 35.8)),4326))) tic0 LEFT JOIN (tileinfo_meta__2p left join meta__2p on tileinfo_meta__2p.fk_name = meta__2p.pk_name) on tic0.pk_tileinfo = tileinfo_meta__2p.fk_tileinfo ),
((SELECT * FROM tileinfo where julianDay BETWEEN
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I have nearly 1,00,000 records in my recordset. I would like retrieve 1000 Random records from the recordset.How to do it using VB and ADO

Need help with Random Sampling
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Ok...I have created a database that our auditors want to use to chose particular claims to audit. What I need to be able to do is select a specific number of records for each claims adjuster (2.5% of the total records that the adjuster has processed). The records for each adjuster selected should be chosen at random. Any suggestions? Thanks in advance for your help!!

sampling audio !! $ !!
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as part of my project i have to develop an application in j2me that samples the audio input from the user and i have to create a stream using the sampled values.
is it possible to do this?if so,can u plz tell me the package to use for this?
R Create a Spatial Bubble Plot That Overlays A basemap of the US and other spatial layers as needed
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I'm trying to produce a nice bubble plot overlaid on top of a basemap of the US (i could import a shapefile if that is preferred but i've been using the R basemaps.

myData =

Using this code below, that i adapted from another stack overflow post (Create bubble plot in R using satellite map), i am able to overlay a bubble plot on a map of the US. However this renders very slowly, the extent is too tight, it is bounded in a box, i'm not able to add other layers to the plot from what i can tell, and the base map is thick and not visually clean.

xy <- myData[,c("long", "lat")]
nl <- getData('GADM', country="USA", level=1) #raster data, format
nl <- gSimiplify(nl, tol=0.01, topologyPreserve=TRUE)
# coercing the polygon outlines to a SpatialLines object
spl <- list("sp.lines", as(nl, "SpatialLines"))
SPDF <- SpatialPointsDataFrame(coords=xy, data=myData)
coordinates(myData) <- c("lat", "long")
projection(SPDF)<- "+proj=longlat +ellps=WGS84 +datum=WGS84
+no_defs +towgs84=0,0,0"
coordinates(SPDF)[1:5,] #retrieves spatial coordinates form the
bubble(SPDF, "pop", sp.layout=spl, main="This is It!")

I can draw a nice basemap using this code. I add points to the map but they are not sized by the pop column in my data. And i can add additional layers to this map. But can i control the size of the points and the symbol itself like i can using a bubble plot?

map(database= "world", ylim=c(45,90), 
    xlim=c(-160,-50), col="grey80", 
    fill=TRUE, projection="gilbert", 
    orientation= c(90,0,225))

coord <- mapproject(myData$lon, myData$lat,
proj="gilbert",orientation=c(90, 0, 225))
points(coord, pch=20, cex=1.2, col="red") 

Can anyone please guide me towards the best way to plot a bubble map in R where i can adjust the fill and outline of the symbols in the bubble map, And i can add a clean basemap, that i can a) control the colors of (fill and lines) and b) add additional layers to (for instance another shapefile layer).

Thank you in advance for any advice.

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