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IVM

WISC Windstorm Loss and Risk Model

Documentation Status

Python implementation of the WISC (Windstorm Information Service) Loss and Risk model.

Please refer to the ReadTheDocs of this project for the full documentation of all functions.

Requirements:NumPy, pandas, geopandas, seaborn, matplotlib

Academic article Koks and Haer (2020)

Koks and Haer (2020) A high-resolution wind damage model for Europe. Scientific Reports. In Review

Project report of the model:Koks et al., 2017

Koks, E.E., Tiggeloven, T., Coumou D., Aerts, J.C.J.H., Whitelaw A. (2017) WISC Risk and Loss Indicator Descriptions. Copernicus Climate Change Service.

Sensitivity Analysis of the model:Koks et al., 2017

Koks, E.E., Coumou D., Aerts, J.C.J.H.,(2017) WISC Case Study: Tier 3 Indicators Sensitivity Analysis. Copernicus Climate Change Service.

Prepare data paths

Copy config.template.json to config.json and edit the paths for data and figures, for example:

{
"data_path": "/home/<user>/projects/WISC/data",
"figures_path": "/home/<user>/projects/WISC/figures"
}

Python requirements

Recommended option is to use a miniconda environment to work in for this project, relying on conda to handle some of the trickier library dependencies.

# Add conda-forge channel for extra packages
conda config --add channels conda-forge
# Create a conda environment for the project and install packages
conda env create -f .environment.yml
activate WISC

License

Copyright (C) 2020 Elco Koks. All versions released under the MIT license.

About

Python implementation of a windstorm risk model for Europe

Resources

Stars

4 stars

Watchers

1 watching

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Packages

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Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
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Repository files navigation

IVM

WISC Windstorm Loss and Risk Model

Documentation Status

Python implementation of the WISC (Windstorm Information Service) Loss and Risk model.

Please refer to the ReadTheDocs of this project for the full documentation of all functions.

Requirements:NumPy, pandas, geopandas, seaborn, matplotlib

Academic article Koks and Haer (2020)

Koks and Haer (2020) A high-resolution wind damage model for Europe. Scientific Reports. In Review

Project report of the model:Koks et al., 2017

Koks, E.E., Tiggeloven, T., Coumou D., Aerts, J.C.J.H., Whitelaw A. (2017) WISC Risk and Loss Indicator Descriptions. Copernicus Climate Change Service.

Sensitivity Analysis of the model:Koks et al., 2017

Koks, E.E., Coumou D., Aerts, J.C.J.H.,(2017) WISC Case Study: Tier 3 Indicators Sensitivity Analysis. Copernicus Climate Change Service.

Prepare data paths

Copy config.template.json to config.json and edit the paths for data and figures, for example:

{
"data_path": "/home/<user>/projects/WISC/data",
"figures_path": "/home/<user>/projects/WISC/figures"
}

Python requirements

Recommended option is to use a miniconda environment to work in for this project, relying on conda to handle some of the trickier library dependencies.

# Add conda-forge channel for extra packages
conda config --add channels conda-forge
# Create a conda environment for the project and install packages
conda env create -f .environment.yml
activate WISC

License

Copyright (C) 2020 Elco Koks. All versions released under the MIT license.

About

Python implementation of a windstorm risk model for Europe

Resources

Stars

4 stars

Watchers

1 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Repository files navigation

IVM

WISC Windstorm Loss and Risk Model

Documentation Status

Python implementation of the WISC (Windstorm Information Service) Loss and Risk model.

Please refer to the ReadTheDocs of this project for the full documentation of all functions.

Requirements:NumPy, pandas, geopandas, seaborn, matplotlib

Academic article Koks and Haer (2020)

Koks and Haer (2020) A high-resolution wind damage model for Europe. Scientific Reports. In Review

Project report of the model:Koks et al., 2017

Koks, E.E., Tiggeloven, T., Coumou D., Aerts, J.C.J.H., Whitelaw A. (2017) WISC Risk and Loss Indicator Descriptions. Copernicus Climate Change Service.

Sensitivity Analysis of the model:Koks et al., 2017

Koks, E.E., Coumou D., Aerts, J.C.J.H.,(2017) WISC Case Study: Tier 3 Indicators Sensitivity Analysis. Copernicus Climate Change Service.

Prepare data paths

Copy config.template.json to config.json and edit the paths for data and figures, for example:

{
"data_path": "/home/<user>/projects/WISC/data",
"figures_path": "/home/<user>/projects/WISC/figures"
}

Python requirements

Recommended option is to use a miniconda environment to work in for this project, relying on conda to handle some of the trickier library dependencies.

# Add conda-forge channel for extra packages
conda config --add channels conda-forge
# Create a conda environment for the project and install packages
conda env create -f .environment.yml
activate WISC

License

Copyright (C) 2020 Elco Koks. All versions released under the MIT license.

About

Python implementation of a windstorm risk model for Europe

Resources

Stars

4 stars

Watchers

1 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Repository files navigation

IVM

WISC Windstorm Loss and Risk Model

Documentation Status

Python implementation of the WISC (Windstorm Information Service) Loss and Risk model.

Please refer to the ReadTheDocs of this project for the full documentation of all functions.

Requirements:NumPy, pandas, geopandas, seaborn, matplotlib

Academic article Koks and Haer (2020)

Koks and Haer (2020) A high-resolution wind damage model for Europe. Scientific Reports. In Review

Project report of the model:Koks et al., 2017

Koks, E.E., Tiggeloven, T., Coumou D., Aerts, J.C.J.H., Whitelaw A. (2017) WISC Risk and Loss Indicator Descriptions. Copernicus Climate Change Service.

Sensitivity Analysis of the model:Koks et al., 2017

Koks, E.E., Coumou D., Aerts, J.C.J.H.,(2017) WISC Case Study: Tier 3 Indicators Sensitivity Analysis. Copernicus Climate Change Service.

Prepare data paths

Copy config.template.json to config.json and edit the paths for data and figures, for example:

{
"data_path": "/home/<user>/projects/WISC/data",
"figures_path": "/home/<user>/projects/WISC/figures"
}

Python requirements

Recommended option is to use a miniconda environment to work in for this project, relying on conda to handle some of the trickier library dependencies.

# Add conda-forge channel for extra packages
conda config --add channels conda-forge
# Create a conda environment for the project and install packages
conda env create -f .environment.yml
activate WISC

License

Copyright (C) 2020 Elco Koks. All versions released under the MIT license.

About

Python implementation of a windstorm risk model for Europe

Resources

Stars

4 stars

Watchers

1 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
Skip to content

Repository files navigation

IVM

WISC Windstorm Loss and Risk Model

Documentation Status

Python implementation of the WISC (Windstorm Information Service) Loss and Risk model.

Please refer to the ReadTheDocs of this project for the full documentation of all functions.

Requirements:NumPy, pandas, geopandas, seaborn, matplotlib

Academic article Koks and Haer (2020)

Koks and Haer (2020) A high-resolution wind damage model for Europe. Scientific Reports. In Review

Project report of the model:Koks et al., 2017

Koks, E.E., Tiggeloven, T., Coumou D., Aerts, J.C.J.H., Whitelaw A. (2017) WISC Risk and Loss Indicator Descriptions. Copernicus Climate Change Service.

Sensitivity Analysis of the model:Koks et al., 2017

Koks, E.E., Coumou D., Aerts, J.C.J.H.,(2017) WISC Case Study: Tier 3 Indicators Sensitivity Analysis. Copernicus Climate Change Service.

Prepare data paths

Copy config.template.json to config.json and edit the paths for data and figures, for example:

{
"data_path": "/home/<user>/projects/WISC/data",
"figures_path": "/home/<user>/projects/WISC/figures"
}

Python requirements

Recommended option is to use a miniconda environment to work in for this project, relying on conda to handle some of the trickier library dependencies.

# Add conda-forge channel for extra packages
conda config --add channels conda-forge
# Create a conda environment for the project and install packages
conda env create -f .environment.yml
activate WISC

License

Copyright (C) 2020 Elco Koks. All versions released under the MIT license.

About

Python implementation of a windstorm risk model for Europe

Resources

Stars

4 stars

Watchers

1 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Repository files navigation

IVM

WISC Windstorm Loss and Risk Model

Documentation Status

Python implementation of the WISC (Windstorm Information Service) Loss and Risk model.

Please refer to the ReadTheDocs of this project for the full documentation of all functions.

Requirements:NumPy, pandas, geopandas, seaborn, matplotlib

Academic article Koks and Haer (2020)

Koks and Haer (2020) A high-resolution wind damage model for Europe. Scientific Reports. In Review

Project report of the model:Koks et al., 2017

Koks, E.E., Tiggeloven, T., Coumou D., Aerts, J.C.J.H., Whitelaw A. (2017) WISC Risk and Loss Indicator Descriptions. Copernicus Climate Change Service.

Sensitivity Analysis of the model:Koks et al., 2017

Koks, E.E., Coumou D., Aerts, J.C.J.H.,(2017) WISC Case Study: Tier 3 Indicators Sensitivity Analysis. Copernicus Climate Change Service.

Prepare data paths

Copy config.template.json to config.json and edit the paths for data and figures, for example:

{
"data_path": "/home/<user>/projects/WISC/data",
"figures_path": "/home/<user>/projects/WISC/figures"
}

Python requirements

Recommended option is to use a miniconda environment to work in for this project, relying on conda to handle some of the trickier library dependencies.

# Add conda-forge channel for extra packages
conda config --add channels conda-forge
# Create a conda environment for the project and install packages
conda env create -f .environment.yml
activate WISC

License

Copyright (C) 2020 Elco Koks. All versions released under the MIT license.

About

Python implementation of a windstorm risk model for Europe

Resources

Stars

4 stars

Watchers

1 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Repository files navigation

IVM

WISC Windstorm Loss and Risk Model

Documentation Status

Python implementation of the WISC (Windstorm Information Service) Loss and Risk model.

Please refer to the ReadTheDocs of this project for the full documentation of all functions.

Requirements:NumPy, pandas, geopandas, seaborn, matplotlib

Academic article Koks and Haer (2020)

Koks and Haer (2020) A high-resolution wind damage model for Europe. Scientific Reports. In Review

Project report of the model:Koks et al., 2017

Koks, E.E., Tiggeloven, T., Coumou D., Aerts, J.C.J.H., Whitelaw A. (2017) WISC Risk and Loss Indicator Descriptions. Copernicus Climate Change Service.

Sensitivity Analysis of the model:Koks et al., 2017

Koks, E.E., Coumou D., Aerts, J.C.J.H.,(2017) WISC Case Study: Tier 3 Indicators Sensitivity Analysis. Copernicus Climate Change Service.

Prepare data paths

Copy config.template.json to config.json and edit the paths for data and figures, for example:

{
"data_path": "/home/<user>/projects/WISC/data",
"figures_path": "/home/<user>/projects/WISC/figures"
}

Python requirements

Recommended option is to use a miniconda environment to work in for this project, relying on conda to handle some of the trickier library dependencies.

# Add conda-forge channel for extra packages
conda config --add channels conda-forge
# Create a conda environment for the project and install packages
conda env create -f .environment.yml
activate WISC

License

Copyright (C) 2020 Elco Koks. All versions released under the MIT license.

About

Python implementation of a windstorm risk model for Europe

Resources

Stars

4 stars

Watchers

1 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
Skip to content

Repository files navigation

IVM

WISC Windstorm Loss and Risk Model

Documentation Status

Python implementation of the WISC (Windstorm Information Service) Loss and Risk model.

Please refer to the ReadTheDocs of this project for the full documentation of all functions.

Requirements:NumPy, pandas, geopandas, seaborn, matplotlib

Academic article Koks and Haer (2020)

Koks and Haer (2020) A high-resolution wind damage model for Europe. Scientific Reports. In Review

Project report of the model:Koks et al., 2017

Koks, E.E., Tiggeloven, T., Coumou D., Aerts, J.C.J.H., Whitelaw A. (2017) WISC Risk and Loss Indicator Descriptions. Copernicus Climate Change Service.

Sensitivity Analysis of the model:Koks et al., 2017

Koks, E.E., Coumou D., Aerts, J.C.J.H.,(2017) WISC Case Study: Tier 3 Indicators Sensitivity Analysis. Copernicus Climate Change Service.

Prepare data paths

Copy config.template.json to config.json and edit the paths for data and figures, for example:

{
"data_path": "/home/<user>/projects/WISC/data",
"figures_path": "/home/<user>/projects/WISC/figures"
}

Python requirements

Recommended option is to use a miniconda environment to work in for this project, relying on conda to handle some of the trickier library dependencies.

# Add conda-forge channel for extra packages
conda config --add channels conda-forge
# Create a conda environment for the project and install packages
conda env create -f .environment.yml
activate WISC

License

Copyright (C) 2020 Elco Koks. All versions released under the MIT license.

About

Python implementation of a windstorm risk model for Europe

Resources

Stars

4 stars

Watchers

1 watching

Forks

Releases

Packages

Contributors

Languages