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-8ee11d61
+b1a4ee67

07-Introsf.html

@@ -554,10 +554,10 @@
 <p>Simple feature objects can be written with <code>st_write</code>, as in</p>
 <div class="cell">
 <div class="sourceCode" id="cb4"><pre class="downlit sourceCode r code-with-copy"><code class="sourceCode R"><span><span class="op">(</span><span class="va">file</span> <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/tempfile.html">tempfile</a></span><span class="op">(</span>fileext <span class="op">=</span> <span class="st">".gpkg"</span><span class="op">)</span><span class="op">)</span></span>
-<span><span class="co"># [1] "/tmp/Rtmp1IWjGZ/file3ca03b15488e.gpkg"</span></span>
+<span><span class="co"># [1] "/tmp/RtmpCikSY9/file3ceac9bd970.gpkg"</span></span>
 <span><span class="fu"><a href="https://r-spatial.github.io/sf/reference/st_write.html">st_write</a></span><span class="op">(</span><span class="va">nc</span>, <span class="va">file</span>, layer <span class="op">=</span> <span class="st">"layer_nc"</span><span class="op">)</span></span>
 <span><span class="co"># Writing layer `layer_nc' to data source </span></span>
-<span><span class="co">#   `/tmp/Rtmp1IWjGZ/file3ca03b15488e.gpkg' using driver `GPKG'</span></span>
+<span><span class="co">#   `/tmp/RtmpCikSY9/file3ceac9bd970.gpkg' using driver `GPKG'</span></span>
 <span><span class="co"># Writing 100 features with 14 fields and geometry type Multi Polygon.</span></span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 </div>
 <p>where the file format (GPKG) is derived from the file name extension. Using argument <code>append</code>, <code>st_write</code> can either append records to an existing layer or replace it; if unset, it will err if a layer already exists. The tidyverse-style <code>write_sf</code> will replace silently if <code>append</code> has not been set. Layers can also be deleted using <code>st_delete</code>, which is convenient in particular when they are associated with tables in a database.</p>

08-Plotting.html

@@ -535,13 +535,13 @@
 <span><span class="op">(</span><span class="va">cI</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://r-spatial.github.io/classInt/reference/classIntervals.html">classIntervals</a></span><span class="op">(</span><span class="va">r</span><span class="op">)</span><span class="op">)</span></span>
 <span><span class="co"># style: quantile</span></span>
 <span><span class="co">#   one of 1.49e+10 possible partitions of this variable into 8 classes</span></span>
-<span><span class="co">#   [-1.85,-1.12)  [-1.12,-0.659) [-0.659,-0.273) [-0.273,0.0603) </span></span>
+<span><span class="co">#    [-3.01,-1.3)   [-1.3,-0.794) [-0.794,-0.391) [-0.391,0.0405) </span></span>
 <span><span class="co">#              13              12              13              12 </span></span>
-<span><span class="co">#  [0.0603,0.317)   [0.317,0.588)    [0.588,1.18)     [1.18,2.89] </span></span>
+<span><span class="co">#  [0.0405,0.274)    [0.274,0.65)     [0.65,1.12)     [1.12,2.56] </span></span>
 <span><span class="co">#              12              13              12              13</span></span>
 <span><span class="va">cI</span><span class="op">$</span><span class="va">brks</span></span>
-<span><span class="co"># [1] -1.8523 -1.1157 -0.6586 -0.2728  0.0603  0.3171  0.5878  1.1784</span></span>
-<span><span class="co"># [9]  2.8935</span></span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+<span><span class="co"># [1] -3.0113 -1.2991 -0.7940 -0.3909  0.0405  0.2742  0.6496  1.1195</span></span>
+<span><span class="co"># [9]  2.5640</span></span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 </div>
 <p>it takes argument <code>n</code> for the number of intervals, and a <code>style</code> that can be one of “fixed”, “sd”, “equal”, “pretty”, “quantile”, “kmeans”, “hclust”, “bclust”, “fisher” or “jenks”. Style “pretty” may not obey <code>n</code>; if <code>n</code> is missing, <code>nclass.Sturges</code> is used; two other methods are available for choosing <code>n</code> automatically. If the number of observations is greater than 3000, a 10% sample is used to create the breaks for “fisher” and “jenks”.</p>
 </section><section id="sec-graticule" class="level3"><h3 class="anchored" data-anchor-id="sec-graticule">Graticule and other navigation aids</h3>

17-Econometrics.html

@@ -738,8 +738,6 @@
 <span>                 data <span class="op">=</span> <span class="va">boston_506</span>, family <span class="op">=</span> <span class="st">"gaussian"</span>,</span>
 <span>                 control.family <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html">list</a></span><span class="op">(</span>hyper <span class="op">=</span> <span class="va">zero.variance</span><span class="op">)</span>,</span>
 <span>                 control.compute <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html">list</a></span><span class="op">(</span>dic <span class="op">=</span> <span class="cn">TRUE</span>, cpo <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span><span class="op">)</span></span>
-<span><span class="co"># </span></span>
-<span><span class="co">#  *** inla.core.safe:  rerun to try to solve negative eigenvalue(s) in the Hessian</span></span>
 <span><span class="va">mv_mean</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/Log.html">exp</a></span><span class="op">(</span><span class="va">SDEM_506_slm</span><span class="op">$</span><span class="va">summary.fitted.values</span><span class="op">$</span><span class="va">mean</span><span class="op">[</span></span>
 <span>               <span class="fu"><a href="https://rdrr.io/r/base/which.html">which</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/NA.html">is.na</a></span><span class="op">(</span><span class="va">boston_506</span><span class="op">$</span><span class="va">median</span><span class="op">)</span><span class="op">)</span><span class="op">]</span><span class="op">)</span></span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 </div>
@@ -749,23 +747,23 @@
 <span>    INLA_slm <span class="op">=</span> <span class="va">mv_mean</span>, censored <span class="op">=</span> </span>
 <span>      <span class="va">boston_506</span><span class="op">$</span><span class="va">censored</span><span class="op">[</span><span class="fu"><a href="https://rdrr.io/r/base/integer.html">as.integer</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/attr.html">attr</a></span><span class="op">(</span><span class="va">t0</span>, <span class="st">"region.id"</span><span class="op">)</span><span class="op">)</span><span class="op">]</span><span class="op">)</span></span>
 <span><span class="co">#     fit_TS fit_KP2 fit_KP5 INLA_slm censored</span></span>
-<span><span class="co"># 13   23912   29477   28147    27837    right</span></span>
-<span><span class="co"># 14   28126   27001   28516    31307    right</span></span>
-<span><span class="co"># 15   30553   36184   32476    31913    right</span></span>
-<span><span class="co"># 17   18518   19621   18878    17698    right</span></span>
-<span><span class="co"># 43    9564    6817    7561     9068     left</span></span>
-<span><span class="co"># 50    8371    7196    7383     7285     left</span></span>
-<span><span class="co"># 312  51477   53301   54173    56332    right</span></span>
-<span><span class="co"># 313  45921   45823   47095    46739    right</span></span>
-<span><span class="co"># 314  44196   44586   45361    42364    right</span></span>
-<span><span class="co"># 317  43427   45707   45442    45911    right</span></span>
-<span><span class="co"># 337  39879   42072   41127    39886    right</span></span>
-<span><span class="co"># 346  44708   46694   46108    42480    right</span></span>
-<span><span class="co"># 355  48188   49068   48911    47795    right</span></span>
-<span><span class="co"># 376  42881   45883   44966    43627    right</span></span>
-<span><span class="co"># 408  44294   44615   45670    47935    right</span></span>
-<span><span class="co"># 418  38211   43375   41914    37731    right</span></span>
-<span><span class="co"># 434  41647   41690   42398    40273    right</span></span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+<span><span class="co"># 13   23912   29477   28147    30084    right</span></span>
+<span><span class="co"># 14   28126   27001   28516    31160    right</span></span>
+<span><span class="co"># 15   30553   36184   32476    37582    right</span></span>
+<span><span class="co"># 17   18518   19621   18878    19826    right</span></span>
+<span><span class="co"># 43    9564    6817    7561     7533     left</span></span>
+<span><span class="co"># 50    8371    7196    7383     7033     left</span></span>
+<span><span class="co"># 312  51477   53301   54173    56543    right</span></span>
+<span><span class="co"># 313  45921   45823   47095    46791    right</span></span>
+<span><span class="co"># 314  44196   44586   45361    42785    right</span></span>
+<span><span class="co"># 317  43427   45707   45442    47120    right</span></span>
+<span><span class="co"># 337  39879   42072   41127    40971    right</span></span>
+<span><span class="co"># 346  44708   46694   46108    44859    right</span></span>
+<span><span class="co"># 355  48188   49068   48911    48705    right</span></span>
+<span><span class="co"># 376  42881   45883   44966    46117    right</span></span>
+<span><span class="co"># 408  44294   44615   45670    46899    right</span></span>
+<span><span class="co"># 418  38211   43375   41914    41715    right</span></span>
+<span><span class="co"># 434  41647   41690   42398    41020    right</span></span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 </div>
 <p>The spatial regression toolbox remains incomplete, and it will take time to fill in blanks. It remains unfortunate that the several traditions in spatial regression seldom seem to draw on each others’ understandings and advances.</p>
 </section><section id="exercises" class="level2" data-number="17.5"><h2 data-number="17.5" class="anchored" data-anchor-id="exercises">

index.html

@@ -6,7 +6,7 @@
 <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes">
 <meta name="author" content="Edzer Pebesma">
 <meta name="author" content="Roger Bivand">
-<meta name="dcterms.date" content="2025-01-28">
+<meta name="dcterms.date" content="2025-01-29">
 <title>Spatial Data Science</title>
 <style>
 code{white-space: pre-wrap;}
@@ -391,7 +391,7 @@
     <div>
     <div class="quarto-title-meta-heading">Published</div>
     <div class="quarto-title-meta-contents">
-      <p class="date">January 28, 2025</p>
+      <p class="date">January 29, 2025</p>
     </div>
   </div>