Domain > spatiotemporal.com

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Whois

Property	Value
Name	robert pace
Organization	r. kelley pace
Email	kpace@lsu.edu
Address	po box 16364
Zip Code	70893
City	baton rouge
State	LA
Country	US
Phone	+1.2253886256
NameServer	ns000.ns0.com
Created	1999-10-18 01:33:49
Changed	1999-10-17 04:00:00
Expires	2016-10-18 00:00:00
Registrar	Register.com, Inc.

DNS Resolutions

Date	IP Address
2026-02-15	216.92.160.137 (ClassC)

Port 80

HTTP/1.1 200 OKDate: Tue, 13 Aug 2024 17:43:51 GMTServer: ApacheLast-Modified: Thu, 06 Feb 2003 07:20:15 GMTETag: 1545-3b5fb560949c0Accept-Ranges: bytesContent-Length: 5445Content-Type: text/html

html>head>meta http-equivContent-Type contenttext/html; charsetiso-8859-1>meta namedescription contentModeling spatiotemporal dependence among observations offers the potential to improve forecasting and improve inference.>meta namekeywords contentspatiotemporal dependence, spatiotemporal autoregression, spatial autoregressions, spatial statistics, real estate>title>Spatiotemporal/title>meta nameMicrosoft Theme contentblocks 001>/head>body background_themes/blocks/blobkgde.gif bgcolor#FFFFFF text#000000 link#333333 vlink#666666 alink#FF0000>!--mstheme-->font facebookman old style, times new roman, times>font FACEGoudy Extra Bold CG ATT SIZE6>p ALIGNCENTER>/font>font FACEGoudy Extra Bold CG ATT size7>SpatiotemporalRegression/font>font FACEGoudy Old Style CG ATT size6>/p>p>Data do not arise i>ex-nihilo/i>, but occur at a specific location and time. As datagenerated close together in space and time share more similarities, opportunities exist touse these similarities to improve estimation. /p>p>Spatiotemporal data often exhibits other structure. For example, collection andaggregation of the data may result in reporting averages at fixed time intervals and atfixed locations. Examples of such data include the US Census data and temperaturemonitoring station data. Longitudinal or panel techniques provide the canonical way ofmodeling such data. /p>p>For data which do not occur at fixed locations and at regular time intervals, moregeneral spatiotemporal techniques exist. Examples of such data include house transactiondata (locations are not the same each period and sales can happen at any time), dataaccumulated from multiple observers (i>e.g/i>., ore samples collected by differentparties at different times using different technologies), and fish catch data fromdifferent vessels (log showing time and location). /p>p>At least several ways exist of modeling spatiotemporal data. First, one can use spatialstatistical techniques and incorporate time through inclusion of temporal dichotomousvariables. Second, one can directly m

Port 21

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Domain > spatiotemporal.com

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DNS Resolutions

Port 80

Port 21