build based on 3b5c425

Author: Documenter.jl

dev/.documenter-siteinfo.json

@@ -1 +1 @@
-{"documenter":{"julia_version":"1.10.4","generation_timestamp":"2024-07-11T08:11:01","documenter_version":"1.5.0"}}
+{"documenter":{"julia_version":"1.10.4","generation_timestamp":"2024-07-12T08:51:20","documenter_version":"1.5.0"}}

dev/api/index.html

@@ -188,4 +188,4 @@
     vlines!(axs[1], t_transitions[j], color = Cycled(1), linewidth = 3)
     push!(figvec, fig)
 end
-figvec[1]</code></pre><img src="7494cf2f.png" alt="Example block output"/><p>It here appears that not all transitions are preceeded by a significant increase of variance and AC1, even in the case of clean and evenly sampled time series. Let&#39;s check another case:</p><pre><code class="language-julia hljs">figvec[2]</code></pre><img src="3835a9d2.png" alt="Example block output"/><p>Same here! Although CLIMBER-X does not represent real DO-events, the above-performed analysis might be hinting at the fact that not all DO transitions can be forecasted with CSD. Nonetheless, performing a CSD analysis can inform on the evolution of a system&#39;s resilience.</p></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../ks_paleojump/">« Kolmogorov-Smirnov test for detecting transitions in paleoclimate timeseries</a><a class="docs-footer-nextpage" href="../../api/">API »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="auto">Automatic (OS)</option><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="catppuccin-latte">catppuccin-latte</option><option value="catppuccin-frappe">catppuccin-frappe</option><option value="catppuccin-macchiato">catppuccin-macchiato</option><option value="catppuccin-mocha">catppuccin-mocha</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.5.0 on <span class="colophon-date" title="Thursday 11 July 2024 08:11">Thursday 11 July 2024</span>. Using Julia version 1.10.4.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
+figvec[1]</code></pre><img src="7494cf2f.png" alt="Example block output"/><p>It here appears that not all transitions are preceeded by a significant increase of variance and AC1, even in the case of clean and evenly sampled time series. Let&#39;s check another case:</p><pre><code class="language-julia hljs">figvec[2]</code></pre><img src="3835a9d2.png" alt="Example block output"/><p>Same here! Although CLIMBER-X does not represent real DO-events, the above-performed analysis might be hinting at the fact that not all DO transitions can be forecasted with CSD. Nonetheless, performing a CSD analysis can inform on the evolution of a system&#39;s resilience.</p></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../ks_paleojump/">« Kolmogorov-Smirnov test for detecting transitions in paleoclimate timeseries</a><a class="docs-footer-nextpage" href="../../api/">API »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="auto">Automatic (OS)</option><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="catppuccin-latte">catppuccin-latte</option><option value="catppuccin-frappe">catppuccin-frappe</option><option value="catppuccin-macchiato">catppuccin-macchiato</option><option value="catppuccin-mocha">catppuccin-mocha</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.5.0 on <span class="colophon-date" title="Friday 12 July 2024 08:51">Friday 12 July 2024</span>. Using Julia version 1.10.4.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>

dev/devdocs/index.html

@@ -37,7 +37,7 @@
     density!(ax, q; label = "D_KS = $(D_KS)")
 end
 axislegend(ax)
-fig</code></pre><img src="d3f24618.png" alt="Example block output"/><h2 id="Perform-the-sliding-window-analysis"><a class="docs-heading-anchor" href="#Perform-the-sliding-window-analysis">Perform the sliding window analysis</a><a id="Perform-the-sliding-window-analysis-1"></a><a class="docs-heading-anchor-permalink" href="#Perform-the-sliding-window-analysis" title="Permalink"></a></h2><p>This is just a straightforward call to <a href="../../api/#TransitionsInTimeseries.estimate_changes"><code>estimate_changes</code></a>. In fact, it is even simpler than the tutorial. Here we skip completely the &quot;indicator&quot; estimation step, and we evaluate the change metric directly on input data. We do this by simply passing <code>nothing</code> as the indicators.</p><pre><code class="language-julia hljs">using TransitionsInTimeseries
+fig</code></pre><img src="9fea8834.png" alt="Example block output"/><h2 id="Perform-the-sliding-window-analysis"><a class="docs-heading-anchor" href="#Perform-the-sliding-window-analysis">Perform the sliding window analysis</a><a id="Perform-the-sliding-window-analysis-1"></a><a class="docs-heading-anchor-permalink" href="#Perform-the-sliding-window-analysis" title="Permalink"></a></h2><p>This is just a straightforward call to <a href="../../api/#TransitionsInTimeseries.estimate_changes"><code>estimate_changes</code></a>. In fact, it is even simpler than the tutorial. Here we skip completely the &quot;indicator&quot; estimation step, and we evaluate the change metric directly on input data. We do this by simply passing <code>nothing</code> as the indicators.</p><pre><code class="language-julia hljs">using TransitionsInTimeseries
 
 config = SlidingWindowConfig(nothing, normalized_KS_statistic; width_cha = 500)
 
@@ -65,4 +65,4 @@
 fig = visualize_results(results)
 axDKS = content(fig[2,1])
 vlines!(axDKS, results.t_change[vec(flags)], color = (&quot;red&quot;, 0.25))
-fig</code></pre><img src="414a766b.png" alt="Example block output"/><p>We could proceed with a lot of preprocessing as in (<a href="../../refs/#Bagniewski2021">Bagniewski <em>et al.</em>, 2021</a>) but we skip this here for the sake of simplicity.</p></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../logistic/">« Permutation entropy for dynamic regime changes</a><a class="docs-footer-nextpage" href="../do-events/">Dansgaard-Oescher events and Critical Slowing Down »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="auto">Automatic (OS)</option><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="catppuccin-latte">catppuccin-latte</option><option value="catppuccin-frappe">catppuccin-frappe</option><option value="catppuccin-macchiato">catppuccin-macchiato</option><option value="catppuccin-mocha">catppuccin-mocha</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.5.0 on <span class="colophon-date" title="Thursday 11 July 2024 08:11">Thursday 11 July 2024</span>. Using Julia version 1.10.4.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
+fig</code></pre><img src="414a766b.png" alt="Example block output"/><p>We could proceed with a lot of preprocessing as in (<a href="../../refs/#Bagniewski2021">Bagniewski <em>et al.</em>, 2021</a>) but we skip this here for the sake of simplicity.</p></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../logistic/">« Permutation entropy for dynamic regime changes</a><a class="docs-footer-nextpage" href="../do-events/">Dansgaard-Oescher events and Critical Slowing Down »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="auto">Automatic (OS)</option><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="catppuccin-latte">catppuccin-latte</option><option value="catppuccin-frappe">catppuccin-frappe</option><option value="catppuccin-macchiato">catppuccin-macchiato</option><option value="catppuccin-mocha">catppuccin-mocha</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.5.0 on <span class="colophon-date" title="Friday 12 July 2024 08:51">Friday 12 July 2024</span>. Using Julia version 1.10.4.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>