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picture1_High Performance Python Pdf 188825 | Swoboda 2017geodata 1


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File: High Performance Python Pdf 188825 | Swoboda 2017geodata 1
geodata high performance python for geoscience john p swoboda mit haystack observatory michael hirsch boston university joshua l semeter boston university dahlgren dahlgren 2012 2 usual procedure read in the ...

icon picture PDF Filetype PDF | Posted on 03 Feb 2023 | 2 years ago
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    GeoData:
    High	Performance	Python	for	
    Geoscience
    John	P.	Swoboda	– MIT	Haystack	Observatory
    Michael	Hirsch	– Boston	University
    Joshua	L.	Semeter	– Boston	University
          Dahlgren
                               Dahlgren	2012	
                                        2
   Usual	Procedure
   • Read	in	the	data
     • Different	sensors
     • Same	data,	different	sources
   • Register	the	data	in	time	and	space
     • Different	coordinate	systems
     • Different	time	systems
   • Map	data	into	a	common	coordinate	system
     • Different	interpolation/projection	methods
   • Plotting                           3
     • Everything	is	just	screwed	up	by	then
   Can	We	Do	Better?
   • Reuse	code	more	effectively	and	reduce	OTR
     • Save	Time!
     • Save	Money!
   • Need	to	be	able	to	use	multiple	sensors
   • Must	be	able	to	incorporate	new	sensors	as	data	becomes	
    available
   • Plotting	in	multiple	spatial	dimensions
                                        4
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...Geodata high performance python for geoscience john p swoboda mit haystack observatory michael hirsch boston university joshua l semeter dahlgren usual procedure read in the data different sensors same sources register time and space coordinate systems map into a common system interpolation projection methods plotting everything is just screwed up by then can we do better reuse code more effectively reduce otr save money need to be able use multiple must incorporate new as becomes available spatial dimensions...

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