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Merge pull request #372 from jGaboardi/ref_font
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altering reference format in docs
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jGaboardi authored Jan 4, 2020
2 parents 056a170 + 4a02d23 commit 2bd8a27
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8 changes: 6 additions & 2 deletions docs/_static/pysal-styles.css
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/* Table with a scrollbar */
.bodycontainer { max-height: 800px; width: 100%; margin: 0; overflow-y: auto; }
.bodycontainer { max-height: 800px; width: 100%; margin: 0; padding: 0; overflow-y: auto; }
.table-scrollable { margin: 0; padding: 0; }

.label {
color: #222222;
color: #E74C3C;
font-size: 100%;
font-weight: bold;
width: 125px;
text-align: left;
vertical-align: middle;
}

div.body {
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4 changes: 2 additions & 2 deletions docs/_static/references.bib
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Expand Up @@ -73,7 +73,7 @@ @inbook{doi:10.1002/9781119967101.ch6
}

@inbook{doi:10.1002/9780470549094.ch5,
author = {O'Sullivan, D. and Unwin, D.J.},
author = {O'Sullivan, D. and Unwin, D. J.},
publisher = {John Wiley \& Sons, Ltd},
isbn = {9780470549094},
title = {Point Pattern Analysis},
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}

@misc{esda:_2019,
author={S.J. Rey and L.J. Wolf and W. Kang and P. Stephens and J.Laura and C.Schmidt and D. Arribas-Bel and S. Lumnitz and J.C. Duque and David C. Folch and Luc Anselin and N. Malizia and J.D. Gaboardi and F. Fernandes and M. Seth and mhwang4 and mlyons-tcc},
author={S.J. Rey and L.J. Wolf and W. Kang and P. Stephens and J. Laura and C. Schmidt and D. Arribas-Bel and S. Lumnitz and J.C. Duque and D.C. Folch and L. Anselin and N. Malizia and J.D. Gaboardi and F. Fernandes and M. Seth and mhwang4 and mlyons-tcc},
title={{pysal/esda}},
month=jul,
year={2019},
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10 changes: 5 additions & 5 deletions docs/generated/spaghetti.Network.html
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Expand Up @@ -274,7 +274,7 @@ <h1>spaghetti.Network<a class="headerlink" href="#spaghetti-network" title="Perm
<dt><strong>non_articulation_points</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3.7/library/stdtypes.html#list" title="(in Python v3.7)"><code class="docutils literal notranslate"><span class="pre">list</span></code></a></span></dt><dd><p>All vertices with degree 2 that are not in an isolated
island ring (loop) component.</p>
</dd>
<dt><strong>w_network</strong><span class="classifier"><a class="reference external" href="https://pysal.org/libpysal/generated/libpysal.weights.W.html#libpysal.weights.W" title="(in libpysal v4.2.0)"><code class="xref py py-obj docutils literal notranslate"><span class="pre">libpysal.weights.W</span></code></a></span></dt><dd><p>Weights object created from the network arcs.</p>
<dt><strong>w_network</strong><span class="classifier"><a class="reference external" href="https://pysal.org/libpysal/generated/libpysal.weights.W.html#libpysal.weights.W" title="(in libpysal v4.2.1)"><code class="xref py py-obj docutils literal notranslate"><span class="pre">libpysal.weights.W</span></code></a></span></dt><dd><p>Weights object created from the network arcs.</p>
</dd>
<dt><strong>network_n_components</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3.7/library/functions.html#int" title="(in Python v3.7)"><code class="docutils literal notranslate"><span class="pre">int</span></code></a></span></dt><dd><p>Count of connected components in the network.</p>
</dd>
Expand All @@ -287,7 +287,7 @@ <h1>spaghetti.Network<a class="headerlink" href="#spaghetti-network" title="Perm
<dt><strong>network_component_is_ring</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3.7/library/stdtypes.html#dict" title="(in Python v3.7)"><code class="docutils literal notranslate"><span class="pre">dict</span></code></a></span></dt><dd><p>Lookup in the form {int: bool} keyed by component labels with values
as <code class="docutils literal notranslate"><span class="pre">True</span></code> if the component is a closed ring, otherwise <code class="docutils literal notranslate"><span class="pre">False</span></code>.</p>
</dd>
<dt><strong>w_graph</strong><span class="classifier"><a class="reference external" href="https://pysal.org/libpysal/generated/libpysal.weights.W.html#libpysal.weights.W" title="(in libpysal v4.2.0)"><code class="xref py py-obj docutils literal notranslate"><span class="pre">libpysal.weights.W</span></code></a></span></dt><dd><p>Weights object created from the graph edges.</p>
<dt><strong>w_graph</strong><span class="classifier"><a class="reference external" href="https://pysal.org/libpysal/generated/libpysal.weights.W.html#libpysal.weights.W" title="(in libpysal v4.2.1)"><code class="xref py py-obj docutils literal notranslate"><span class="pre">libpysal.weights.W</span></code></a></span></dt><dd><p>Weights object created from the graph edges.</p>
</dd>
<dt><strong>graph_n_components</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3.7/library/functions.html#int" title="(in Python v3.7)"><code class="docutils literal notranslate"><span class="pre">int</span></code></a></span></dt><dd><p>Count of connected components in the network.</p>
</dd>
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</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><dl>
<dt><strong>W</strong><span class="classifier"><a class="reference external" href="https://pysal.org/libpysal/generated/libpysal.weights.W.html#libpysal.weights.W" title="(in libpysal v4.2.0)"><code class="xref py py-obj docutils literal notranslate"><span class="pre">libpysal.weights.W</span></code></a></span></dt><dd><p>A <code class="docutils literal notranslate"><span class="pre">W</span></code> representing the binary adjacency of the network.</p>
<dt><strong>W</strong><span class="classifier"><a class="reference external" href="https://pysal.org/libpysal/generated/libpysal.weights.W.html#libpysal.weights.W" title="(in libpysal v4.2.1)"><code class="xref py py-obj docutils literal notranslate"><span class="pre">libpysal.weights.W</span></code></a></span></dt><dd><p>A <code class="docutils literal notranslate"><span class="pre">W</span></code> representing the binary adjacency of the network.</p>
</dd>
</dl>
</dd>
Expand Down Expand Up @@ -879,7 +879,7 @@ <h1>spaghetti.Network<a class="headerlink" href="#spaghetti-network" title="Perm
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><dl>
<dt><strong>w</strong><span class="classifier"><a class="reference external" href="https://pysal.org/libpysal/generated/libpysal.weights.W.html#libpysal.weights.W" title="(in libpysal v4.2.0)"><code class="xref py py-obj docutils literal notranslate"><span class="pre">libpysal.weights.W</span></code></a></span></dt><dd><p>A <code class="docutils literal notranslate"><span class="pre">W</span></code> object representing the binary adjacency of
<dt><strong>w</strong><span class="classifier"><a class="reference external" href="https://pysal.org/libpysal/generated/libpysal.weights.W.html#libpysal.weights.W" title="(in libpysal v4.2.1)"><code class="xref py py-obj docutils literal notranslate"><span class="pre">libpysal.weights.W</span></code></a></span></dt><dd><p>A <code class="docutils literal notranslate"><span class="pre">W</span></code> object representing the binary adjacency of
the network.</p>
</dd>
</dl>
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<dl class="field-list">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><dl>
<dt><strong>w</strong><span class="classifier"><a class="reference external" href="https://pysal.org/libpysal/generated/libpysal.weights.W.html#libpysal.weights.W" title="(in libpysal v4.2.0)"><code class="xref py py-obj docutils literal notranslate"><span class="pre">libpysal.weights.W</span></code></a></span></dt><dd><p>Weights object created from the network segments (either
<dt><strong>w</strong><span class="classifier"><a class="reference external" href="https://pysal.org/libpysal/generated/libpysal.weights.W.html#libpysal.weights.W" title="(in libpysal v4.2.1)"><code class="xref py py-obj docutils literal notranslate"><span class="pre">libpysal.weights.W</span></code></a></span></dt><dd><p>Weights object created from the network segments (either
raw or graph-theoretic).</p>
</dd>
<dt><strong>graph</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3.7/library/stdtypes.html#bltin-boolean-values" title="(in Python v3.7)"><span class="xref std std-ref">bool</span></a></span></dt><dd><p>Flag for a raw network (<code class="docutils literal notranslate"><span class="pre">False</span></code>) or graph-theoretic network
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4 changes: 2 additions & 2 deletions docs/references.html
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Expand Up @@ -174,7 +174,7 @@ <h1>References<a class="headerlink" href="#references" title="Permalink to this
<dd><p>Martine Labbé, Dominique Peeters, and Jacques-François Thisse. Location on Networks. In <em>Network Routing</em>, volume 8 of Handbooks in Operations Research and Management Science, chapter 7, pages 551–624. Elsevier, 1995. <a class="reference external" href="https://doi.org/10.1016/S0927-0507(05)80111-2">doi:10.1016/S0927-0507(05)80111-2</a>.</p>
</dd>
<dt class="bibtex label" id="doi-10-1002-9780470549094-ch5"><span class="brackets">OSullivanU10</span></dt>
<dd><p>D. O’Sullivan and D.J. Unwin. <em>Point Pattern Analysis</em>, chapter 5, pages 121–156. John Wiley &amp; Sons, Ltd, 2010. <a class="reference external" href="https://doi.org/10.1002/9780470549094.ch5">doi:10.1002/9780470549094.ch5</a>.</p>
<dd><p>D. O’Sullivan and D. J. Unwin. <em>Point Pattern Analysis</em>, chapter 5, pages 121–156. John Wiley &amp; Sons, Ltd, 2010. <a class="reference external" href="https://doi.org/10.1002/9780470549094.ch5">doi:10.1002/9780470549094.ch5</a>.</p>
</dd>
<dt class="bibtex label" id="doi-10-1002-9781119967101-ch3"><span class="brackets">OS12a</span></dt>
<dd><p>Atsuyki Okabe and Kokichi Sugihara. <em>Basic Computational Methods for Network Spatial Analysis</em>, chapter 3, pages 45–80. John Wiley &amp; Sons, Ltd, 2012. <a class="reference external" href="https://doi.org/10.1002/9781119967101.ch3">doi:10.1002/9781119967101.ch3</a>.</p>
Expand All @@ -201,7 +201,7 @@ <h1>References<a class="headerlink" href="#references" title="Permalink to this
<dd><p>C. S. ReVelle and R.W. Swain. Central Facilities Location. <em>Geographical Analysis</em>, 2(1):30–42, 1970.</p>
</dd>
<dt class="bibtex label" id="esda-2019"><span class="brackets">RWK+19</span></dt>
<dd><p>S.J. Rey, L.J. Wolf, W. Kang, P. Stephens, J.Laura, C.Schmidt, D. Arribas-Bel, S. Lumnitz, J.C. Duque, David C. Folch, Luc Anselin, N. Malizia, J.D. Gaboardi, F. Fernandes, M. Seth, mhwang4, and mlyons-tcc. pysal/esda. July 2019. <a class="reference external" href="https://doi.org/10.5281/zenodo.3265190">doi:10.5281/zenodo.3265190</a>.</p>
<dd><p>S.J. Rey, L.J. Wolf, W. Kang, P. Stephens, J. Laura, C. Schmidt, D. Arribas-Bel, S. Lumnitz, J.C. Duque, D.C. Folch, L. Anselin, N. Malizia, J.D. Gaboardi, F. Fernandes, M. Seth, mhwang4, and mlyons-tcc. pysal/esda. July 2019. <a class="reference external" href="https://doi.org/10.5281/zenodo.3265190">doi:10.5281/zenodo.3265190</a>.</p>
</dd>
<dt class="bibtex label" id="pysal2007"><span class="brackets">RA07</span></dt>
<dd><p>Sergio J. Rey and Luc Anselin. PySAL: A Python Library of Spatial Analytical Methods. <em>The Review of Regional Studies</em>, 37(1):5–27, 2007. URL: <a class="reference external" href="https://rrs.scholasticahq.com/article/8285.pdf">https://rrs.scholasticahq.com/article/8285.pdf</a>.</p>
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2 changes: 1 addition & 1 deletion docs/searchindex.js

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8 changes: 6 additions & 2 deletions docsrc/_static/pysal-styles.css
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/* Table with a scrollbar */
.bodycontainer { max-height: 800px; width: 100%; margin: 0; overflow-y: auto; }
.bodycontainer { max-height: 800px; width: 100%; margin: 0; padding: 0; overflow-y: auto; }
.table-scrollable { margin: 0; padding: 0; }

.label {
color: #222222;
color: #E74C3C;
font-size: 100%;
font-weight: bold;
width: 125px;
text-align: left;
vertical-align: middle;
}

div.body {
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4 changes: 2 additions & 2 deletions docsrc/_static/references.bib
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Expand Up @@ -73,7 +73,7 @@ @inbook{doi:10.1002/9781119967101.ch6
}

@inbook{doi:10.1002/9780470549094.ch5,
author = {O'Sullivan, D. and Unwin, D.J.},
author = {O'Sullivan, D. and Unwin, D. J.},
publisher = {John Wiley \& Sons, Ltd},
isbn = {9780470549094},
title = {Point Pattern Analysis},
Expand Down Expand Up @@ -119,7 +119,7 @@ @Article{rey_open_2015
}

@misc{esda:_2019,
author={S.J. Rey and L.J. Wolf and W. Kang and P. Stephens and J.Laura and C.Schmidt and D. Arribas-Bel and S. Lumnitz and J.C. Duque and David C. Folch and Luc Anselin and N. Malizia and J.D. Gaboardi and F. Fernandes and M. Seth and mhwang4 and mlyons-tcc},
author={S.J. Rey and L.J. Wolf and W. Kang and P. Stephens and J. Laura and C. Schmidt and D. Arribas-Bel and S. Lumnitz and J.C. Duque and D.C. Folch and L. Anselin and N. Malizia and J.D. Gaboardi and F. Fernandes and M. Seth and mhwang4 and mlyons-tcc},
title={{pysal/esda}},
month=jul,
year={2019},
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