print.md
In spmodel: Spatial Statistical Modeling and Prediction

splm print output is unchanged (point-referenced, default)

Code
  print(spmod)
Output

  Call:
  splm(formula = z ~ water + tarp, data = caribou, spcov_type = "exponential", 
      xcoord = x, ycoord = y)


  Coefficients (fixed):
  (Intercept)       waterY     tarpnone    tarpshade  
      2.05021     -0.08336      0.08006      0.28663


  Coefficients (exponential spatial covariance):
        de        ie     range  
   0.10672   0.02244  18.01186

Code
  print(summary(spmod))
Output

  Call:
  splm(formula = z ~ water + tarp, data = caribou, spcov_type = "exponential", 
      xcoord = x, ycoord = y)

  Residuals:
       Min       1Q   Median       3Q      Max 
  -0.41321 -0.20784 -0.11238  0.02915  0.45415

  Coefficients (fixed):
              Estimate Std. Error       df t value Pr(>|t|)   
  (Intercept)  2.05021    0.30373  0.01152   6.750   0.9459   
  waterY      -0.08336    0.06443 22.39570  -1.294   0.2089   
  tarpnone     0.08006    0.07750 20.25968   1.033   0.3137   
  tarpshade    0.28663    0.07657 18.75092   3.743   0.0014 **
  ---
  Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

  Pseudo R-squared: 0.3972

  Coefficients (exponential spatial covariance):
        de       ie    range 
   0.10672  0.02244 18.01186

splm print output is unchanged (anisotropy shown)

Code
  print(spmod)
Output

  Call:
  splm(formula = z ~ water + tarp, data = caribou, spcov_type = "exponential", 
      xcoord = x, ycoord = y, anisotropy = TRUE)


  Coefficients (fixed):
  (Intercept)       waterY     tarpnone    tarpshade  
      2.05728     -0.12276      0.06734      0.26739


  Coefficients (exponential spatial covariance):
         de         ie      range     rotate      scale  
  6.041e-02  6.041e-06  4.487e+00  1.081e+00  2.425e-01

splm print output is unchanged (none/ie collapse)

Code
  print(spmod)
Output

  Call:
  splm(formula = z ~ water + tarp, data = caribou, spcov_type = "none")


  Coefficients (fixed):
  (Intercept)       waterY     tarpnone    tarpshade  
       1.9600      -0.0352       0.0497       0.2509


  Coefficients (none spatial covariance):
       ie  
  0.03635

spautor print output is unchanged (de/range only)

Code
  print(spmod)
Output

  Call:
  spautor(formula = y ~ x, data = exdata_poly, spcov_type = "car", 
      estmethod = "reml")


  Coefficients (fixed):
  (Intercept)            x  
      -0.1579      -0.1314


  Coefficients (car spatial covariance):
      de   range  
  3.8458  0.1481

Code
  print(summary(spmod))
Output

  Call:
  spautor(formula = y ~ x, data = exdata_poly, spcov_type = "car", 
      estmethod = "reml")

  Residuals:
      Min      1Q  Median      3Q     Max 
  -1.5263 -0.7825 -0.0775  0.6407  2.2922

  Coefficients (fixed):
              Estimate Std. Error      df t value Pr(>|t|)
  (Intercept)  -0.1579     0.1459  5.9965  -1.082    0.321
  x            -0.1314     0.1237 46.6492  -1.062    0.294

  Pseudo R-squared: 0.02343

  Coefficients (car spatial covariance):
      de  range 
  3.8458 0.1481

spautor print output is unchanged (de/ie/range/extra all present)

Code
  print(spmod)
Output

  Call:
  spautor(formula = y ~ x, data = exdata_Upoly, spcov_type = "car", 
      estmethod = "reml")


  Coefficients (fixed):
  (Intercept)            x  
      -0.0900      -0.1035


  Coefficients (car spatial covariance):
      de   range   extra  
  4.2151  0.3173  0.5812

Code
  print(summary(spmod))
Output

  Call:
  spautor(formula = y ~ x, data = exdata_Upoly, spcov_type = "car", 
      estmethod = "reml")

  Residuals:
       Min       1Q   Median       3Q      Max 
  -1.57759 -0.85906  0.02955  0.63673  2.21781

  Coefficients (fixed):
              Estimate Std. Error      df t value Pr(>|t|)
  (Intercept)  -0.0900     0.1746  6.7387  -0.515    0.623
  x            -0.1035     0.1375 41.3908  -0.752    0.456

  Pseudo R-squared: 0.01316

  Coefficients (car spatial covariance):
      de  range  extra 
  4.2151 0.3173 0.5812

spglm print output is unchanged

Code
  print(spmod)
Output

  Call:
  spglm(formula = y_pois ~ x, family = "poisson", data = exdata, 
      spcov_type = "exponential", xcoord = xcoord, ycoord = ycoord)


  Coefficients (fixed):
  (Intercept)            x  
       0.7371       0.0630


  Coefficients (exponential spatial covariance):
      de      ie   range  
  0.2708  0.0001  0.2109


  Coefficients (Dispersion for poisson family):
  dispersion  
           1

Code
  print(summary(spmod))
Output

  Call:
  spglm(formula = y_pois ~ x, family = "poisson", data = exdata, 
      spcov_type = "exponential", xcoord = xcoord, ycoord = ycoord)

  Deviance Residuals:
       Min       1Q   Median       3Q      Max 
  -1.83138 -0.67823 -0.09114  0.42672  1.34076

  Coefficients (fixed):
              Estimate Std. Error z value Pr(>|z|)    
  (Intercept)  0.73708    0.10883   6.773 1.26e-11 ***
  x            0.06300    0.08243   0.764    0.445    
  ---
  Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

  Pseudo R-squared: 0.007079

  Coefficients (exponential spatial covariance):
      de     ie  range 
  0.2708 0.0001 0.2109

  Coefficients (Dispersion for poisson family):
  dispersion 
           1

spgautor print output is unchanged (de/ie/range/extra all present)

Code
  print(spmod)
Output

  Call:
  spgautor(formula = abs(y) ~ x, family = "Gamma", data = exdata_Upoly, 
      spcov_type = "car", estmethod = "reml")


  Coefficients (fixed):
  (Intercept)            x  
     -0.26235      0.01073


  Coefficients (car spatial covariance):
         de      range      extra  
  9.663e-03  8.738e-01  9.202e-06


  Coefficients (Dispersion for Gamma family):
  dispersion  
       1.637

Code
  print(summary(spmod))
Output

  Call:
  spgautor(formula = abs(y) ~ x, family = "Gamma", data = exdata_Upoly, 
      spcov_type = "car", estmethod = "reml")

  Deviance Residuals:
      Min      1Q  Median      3Q     Max 
  -1.9559 -0.7188 -0.1259  0.4029  1.1949

  Coefficients (fixed):
              Estimate Std. Error z value Pr(>|z|)  
  (Intercept) -0.26235    0.11952  -2.195   0.0282 *
  x            0.01073    0.10831   0.099   0.9211  
  ---
  Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

  Pseudo R-squared: 0.0001923

  Coefficients (car spatial covariance):
         de     range     extra 
  9.663e-03 8.738e-01 9.202e-06

  Coefficients (Dispersion for Gamma family):
  dispersion 
       1.637