代码搜索：Spatial
找到约 1,342 项符合「Spatial」的源代码
代码结果 1,342
www.eeworm.com/read/449504/7502866
m mess.m
function result = mess(y,x,options)
% PURPOSE: maximum likelihood MESS estimates
% S*y = X*b + e, S = e^aD, with xflag == 0, or:
% S*y = [i X D*X]*b + e, xflag == 1
% D = a row-stochastic spatial weig
www.eeworm.com/read/449504/7503083
m sar_g.m
function results = sar_g(y,x,W,ndraw,nomit,prior)
% PURPOSE: Bayesian estimates of the spatial autoregressive model
% y = rho*W*y + XB + e, e = N(0,sige*V), V = diag(v1,v2,...vn)
%
www.eeworm.com/read/323119/13354254
test gis-rtree.test
-- source include/have_geometry.inc
#
# test of rtree (using with spatial data)
#
--disable_warnings
DROP TABLE IF EXISTS t1, t2;
--enable_warnings
CREATE TABLE t1 (
fid INT NOT NULL AUTO_INCREMEN
www.eeworm.com/read/398634/2375707
test gis-rtree.test
-- source include/have_geometry.inc
#
# test of rtree (using with spatial data)
#
--disable_warnings
DROP TABLE IF EXISTS t1, t2;
--enable_warnings
CREATE TABLE t1 (
fid INT NOT NULL AUTO_INCREMEN
www.eeworm.com/read/358128/3005059
test gis-rtree.test
-- source include/have_geometry.inc
#
# test of rtree (using with spatial data)
#
--disable_warnings
DROP TABLE IF EXISTS t1, t2;
--enable_warnings
CREATE TABLE t1 (
fid INT NOT NULL AUTO_INCREMEN
www.eeworm.com/read/249476/12499786
txt audio.txt
AUDIO:
System: System to change Audio options:
CPS1 - CPS1 hardware options, YM2151 FM and OKI ADPCM
Qsound - CPS2 and later CPS1 games hardware options.
Spatial PCM Mixer/resampler
N
www.eeworm.com/read/203062/15366595
txt diagnostic.txt
Diagnostic can form three type of graphs. Graphing the value of of
VarName.
Spatial regions
if (j1,k1) and (j2,k2) form the corners of a rectangle then the graph
is X versus Y or R versus Z. Th
www.eeworm.com/read/163048/10250962
m gfcreatefilter2.m
function [g]=gfcreatefilter2(f0,theta,gamma,eta,n,varargin)
% GFCREATEFILTER2 Create normalized 2-D Gabor filter in the spatial domain.
%
% G = GFCREATEFILTER2(F0,THETA,GAMMA,ETA,N,...) creates a
%
www.eeworm.com/read/449504/7502806
m sem_g.m
function results = sem_g(y,x,W,ndraw,nomit,prior)
% PURPOSE: Bayesian estimates of the spatial error model
% y = XB + u, u = rho*W + e
% e = N(0,sige*V), V = diag(v1,v2,...vn)
%
www.eeworm.com/read/449504/7503057
m sart_g.m
function results = sart_g(y,x,W,ndraw,nomit,prior)
% PURPOSE: Bayesian estimates of the spatial autoregressive tobit model
% y = rho*W*y + XB + e, e = N(0,sige*V), V = diag(v1,v2,...vn)
%