Generating Cache Density Plots - Revision history

Yamar: /* About Density Plots */

2008-02-12T18:31:11Z

About Density Plots

← Older revision		Revision as of 18:31, 12 February 2008
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	\|-		\|-
	\| Looking down at a density plot \|\| Looking between the ground and the density plane<br /> (in the sky)		\| Looking down at a density plot \|\| Looking between the ground and the density plane<br /> (in the sky)
		+	\|-
		+	\|-
		+	\| [[Image:newearth1.jpg\|300px]]
		+	\|-
		+	\| Icons for cache types
	\|-		\|-
	\|}		\|}

Yamar: /* GUI Instructions */

2007-11-10T07:15:59Z

GUI Instructions

← Older revision		Revision as of 07:15, 10 November 2007
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	Creating a cache density plot will let you see where the most dense caches of an area are. To do this, you need to export data to a "kml" google earth file. The density plot will be included with it.		Creating a cache density plot will let you see where the most dense caches of an area are. To do this, you need to export data to a "kml" google earth file. The density plot will be included with it.

−	You can either create a kml export from the command line using arbitrary search terms, or you can use the GUI ~~by simply running "geoqo".~~	+	You can either create a kml export from the command line using arbitrary search terms as shown above, or you can use the [[GUI]]:

	[[Image:exportbut.png]]		[[Image:exportbut.png]]
		+
		+	You will then need to specify that you want to export data to a file, so click the checkbox for doing so:
		+
		+	[[Image:exporttofile.png]]

	Then select the pocket query (for example) name you want to export in a density plot, and change the output format to "Google Earth (KML)" and the file name to a .kml ending of your choice.		Then select the pocket query (for example) name you want to export in a density plot, and change the output format to "Google Earth (KML)" and the file name to a .kml ending of your choice.

Yamar at 04:35, 12 September 2007

2007-09-12T04:35:25Z

← Older revision		Revision as of 04:35, 12 September 2007
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	\|}		\|}

−	== Instructions ==	+	== Command Line Instructions ==
		+
		+	Cache density plots are simply created using the [[kml]] [[Exporting\|Export]] plugin based on your [[Searching\|search]] results:
		+
		+	geoqo -s set:import:myPocketQuery -e out.kml
		+
		+	== GUI Instructions ==

	Creating a cache density plot will let you see where the most dense caches of an area are. To do this, you need to export data to a "kml" google earth file. The density plot will be included with it.		Creating a cache density plot will let you see where the most dense caches of an area are. To do this, you need to export data to a "kml" google earth file. The density plot will be included with it.

Yamar at 04:15, 12 September 2007

2007-09-12T04:15:53Z

← Older revision		Revision as of 04:15, 12 September 2007
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	Then, launch google earth and open the resulting file. The "red" areas will be the areas with the least number of caches in them, and purple will have the most.		Then, launch google earth and open the resulting file. The "red" areas will be the areas with the least number of caches in them, and purple will have the most.
		+
		+	{{TUT:TOC}}

Yamar: /* About Density Plots */

2007-09-11T03:24:00Z

About Density Plots

← Older revision		Revision as of 03:24, 11 September 2007
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	\| [[Image:sacsquare.jpg\|300px]] \|\| [[Image:between.jpg\|300px]]		\| [[Image:sacsquare.jpg\|300px]] \|\| [[Image:between.jpg\|300px]]
	\|-		\|-
−	\| Looking down at a density plot \|\| Looking between the ground and the plane	+	\| Looking down at a density plot \|\| Looking between the ground and the density plane<br /> (in the sky)
	\|-		\|-
	\|}		\|}

Yamar: /* About Density Plots */

2007-09-11T03:20:11Z

About Density Plots

← Older revision		Revision as of 03:20, 11 September 2007
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	{\|		{\|
	\|-		\|-
−	\| [[Image:sacsquare.jpg]] \|\| [[Image:between.jpg]]	+	\| [[Image:sacsquare.jpg\|300px]] \|\| [[Image:between.jpg\|300px]]
	\|-		\|-
	\| Looking down at a density plot \|\| Looking between the ground and the plane		\| Looking down at a density plot \|\| Looking between the ground and the plane
	\|-		\|-
	\|}		\|}
−		+
	== Instructions ==		== Instructions ==

Yamar at 03:15, 11 September 2007

2007-09-11T03:15:15Z

← Older revision		Revision as of 03:15, 11 September 2007
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		+	== About Density Plots ==
		+
		+	Cache Density plots are nothing more than a specialized '''google earth''' file that includes horizontal colored planes representing how many caches are undereath each square. Red squares have less caches underneath, purple have more.
		+
		+	{\|
		+	\|-
		+	\| [[Image:sacsquare.jpg]] \|\| [[Image:between.jpg]]
		+	\|-
		+	\| Looking down at a density plot \|\| Looking between the ground and the plane
		+	\|-
		+	\|}
		+
		+	== Instructions ==
		+
	Creating a cache density plot will let you see where the most dense caches of an area are. To do this, you need to export data to a "kml" google earth file. The density plot will be included with it.		Creating a cache density plot will let you see where the most dense caches of an area are. To do this, you need to export data to a "kml" google earth file. The density plot will be included with it.

Yamar at 02:33, 18 April 2007

2007-04-18T02:33:52Z

New page

Creating a cache density plot will let you see where the most dense caches of an area are. To do this, you need to export data to a "kml" google earth file. The density plot will be included with it.

You can either create a kml export from the command line using arbitrary search terms, or you can use the GUI by simply running "geoqo".

[[Image:exportbut.png]]

Then select the pocket query (for example) name you want to export in a density plot, and change the output format to "Google Earth (KML)" and the file name to a .kml ending of your choice.

[[Image:search.png]]

The next screen will let you set parameters that affect the .kml file. There are a lot, so I suggest starting with the default and working from there.

[[Image:kml.png]]

Then, launch google earth and open the resulting file. The "red" areas will be the areas with the least number of caches in them, and purple will have the most.