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    1. Risk_Interactions_Flood Risk_Interactions_FloodPublic

      Coding hypothetical graphs to show how accounting for climate change and uncertainty in flood hazard and levee effect in flood exposure would impact flood risk pdfs and expected values.

      R 3 3

    2. Hosseini-Shakib_etal_2022_preprint Hosseini-Shakib_etal_2022_preprintPublic

      Performing a Sobol global sensitivity analysis on a flood risk model in Selinsgrove, PA

      R 1

    3. Runoff-Coefficients-of-High-flow-Events-in-Undisturbed-New-England-Basins Runoff-Coefficients-of-High-flow-Events-in-Undisturbed-New-England-BasinsPublic

      Script performs the analysis required for the paper: "Runoff Coefficients of High-flow Events in Undisturbed New England Basins" by Hosseini-Shakib et al.(2020)

      R 1

    4. Why_Bayesian_priors_are_important Why_Bayesian_priors_are_importantPublic

      This is a toy problem to show why our choices of Bayesian prior distributions and sample size are important in our knowledge of model response surface

      R

    5. Risk_Interactions_Drought Risk_Interactions_DroughtPublic

      Script creates conceptual graphs to show interactions among drought hazard, exposure, and risk. All the values in this plot such as drought levels, adaptation coefficient, exponential function and …

      R 1

    , '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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Popular repositories
Loading
      1. 
Risk_Interactions_Flood
Risk_Interactions_FloodPublic
        
Coding hypothetical graphs to show how accounting for climate change and uncertainty in flood hazard and levee effect in flood exposure would impact flood risk pdfs and expected values.

        R
3

3

      2. 
Hosseini-Shakib_etal_2022_preprint
Hosseini-Shakib_etal_2022_preprintPublic
        
Performing a Sobol global sensitivity analysis on a flood risk model in Selinsgrove, PA

        R
1

      3. 
Runoff-Coefficients-of-High-flow-Events-in-Undisturbed-New-England-Basins
Runoff-Coefficients-of-High-flow-Events-in-Undisturbed-New-England-BasinsPublic
        
Script performs the analysis required for the paper: "Runoff Coefficients of High-flow Events in Undisturbed New England Basins" by Hosseini-Shakib et al.(2020)

        R
1

      4. 
Why_Bayesian_priors_are_important
Why_Bayesian_priors_are_importantPublic
        
This is a toy problem to show why our choices of Bayesian prior distributions and sample size are important in our knowledge of model response surface

        R
      5. 
Risk_Interactions_Drought
Risk_Interactions_DroughtPublic
        
Script creates conceptual graphs to show interactions among drought hazard, exposure, and risk. All the values in this plot such as drought levels, adaptation coefficient, exponential function and …

        R
1

      
, '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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Popular repositories
Loading
        1. 
Risk_Interactions_Flood
Risk_Interactions_FloodPublic
          
Coding hypothetical graphs to show how accounting for climate change and uncertainty in flood hazard and levee effect in flood exposure would impact flood risk pdfs and expected values.

          R
3

3

        2. 
Hosseini-Shakib_etal_2022_preprint
Hosseini-Shakib_etal_2022_preprintPublic
          
Performing a Sobol global sensitivity analysis on a flood risk model in Selinsgrove, PA

          R
1

        3. 
Runoff-Coefficients-of-High-flow-Events-in-Undisturbed-New-England-Basins
Runoff-Coefficients-of-High-flow-Events-in-Undisturbed-New-England-BasinsPublic
          
Script performs the analysis required for the paper: "Runoff Coefficients of High-flow Events in Undisturbed New England Basins" by Hosseini-Shakib et al.(2020)

          R
1

        4. 
Why_Bayesian_priors_are_important
Why_Bayesian_priors_are_importantPublic
          
This is a toy problem to show why our choices of Bayesian prior distributions and sample size are important in our knowledge of model response surface

          R
        5. 
Risk_Interactions_Drought
Risk_Interactions_DroughtPublic
          
Script creates conceptual graphs to show interactions among drought hazard, exposure, and risk. All the values in this plot such as drought levels, adaptation coefficient, exponential function and …

          R
1

        
, '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
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Block or report imshakib

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Popular repositories
Loading
          1. 
Risk_Interactions_Flood
Risk_Interactions_FloodPublic
            
Coding hypothetical graphs to show how accounting for climate change and uncertainty in flood hazard and levee effect in flood exposure would impact flood risk pdfs and expected values.

            R
3

3

          2. 
Hosseini-Shakib_etal_2022_preprint
Hosseini-Shakib_etal_2022_preprintPublic
            
Performing a Sobol global sensitivity analysis on a flood risk model in Selinsgrove, PA

            R
1

          3. 
Runoff-Coefficients-of-High-flow-Events-in-Undisturbed-New-England-Basins
Runoff-Coefficients-of-High-flow-Events-in-Undisturbed-New-England-BasinsPublic
            
Script performs the analysis required for the paper: "Runoff Coefficients of High-flow Events in Undisturbed New England Basins" by Hosseini-Shakib et al.(2020)

            R
1

          4. 
Why_Bayesian_priors_are_important
Why_Bayesian_priors_are_importantPublic
            
This is a toy problem to show why our choices of Bayesian prior distributions and sample size are important in our knowledge of model response surface

            R
          5. 
Risk_Interactions_Drought
Risk_Interactions_DroughtPublic
            
Script creates conceptual graphs to show interactions among drought hazard, exposure, and risk. All the values in this plot such as drought levels, adaptation coefficient, exponential function and …

            R
1

          
, '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
          View imshakib's full-sized avatar
            
Block or report imshakib

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Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

            Report abuse
            
Contact GitHub support about this user’s behavior.
Learn more about reporting abuse.

            Report abuse
            
Popular repositories
Loading
            1. 
Risk_Interactions_Flood
Risk_Interactions_FloodPublic
              
Coding hypothetical graphs to show how accounting for climate change and uncertainty in flood hazard and levee effect in flood exposure would impact flood risk pdfs and expected values.

              R
3

3

            2. 
Hosseini-Shakib_etal_2022_preprint
Hosseini-Shakib_etal_2022_preprintPublic
              
Performing a Sobol global sensitivity analysis on a flood risk model in Selinsgrove, PA

              R
1

            3. 
Runoff-Coefficients-of-High-flow-Events-in-Undisturbed-New-England-Basins
Runoff-Coefficients-of-High-flow-Events-in-Undisturbed-New-England-BasinsPublic
              
Script performs the analysis required for the paper: "Runoff Coefficients of High-flow Events in Undisturbed New England Basins" by Hosseini-Shakib et al.(2020)

              R
1

            4. 
Why_Bayesian_priors_are_important
Why_Bayesian_priors_are_importantPublic
              
This is a toy problem to show why our choices of Bayesian prior distributions and sample size are important in our knowledge of model response surface

              R
            5. 
Risk_Interactions_Drought
Risk_Interactions_DroughtPublic
              
Script creates conceptual graphs to show interactions among drought hazard, exposure, and risk. All the values in this plot such as drought levels, adaptation coefficient, exponential function and …

              R
1

            
, '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
            View imshakib's full-sized avatar
              
Block or report imshakib

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Prevent this user from interacting with your repositories and sending you notifications.
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Content in all repositories owned by your account will be closed.

              
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

              Report abuse
              
Contact GitHub support about this user’s behavior.
Learn more about reporting abuse.

              Report abuse
              
Popular repositories
Loading
              1. 
Risk_Interactions_Flood
Risk_Interactions_FloodPublic
                
Coding hypothetical graphs to show how accounting for climate change and uncertainty in flood hazard and levee effect in flood exposure would impact flood risk pdfs and expected values.

                R
3

3

              2. 
Hosseini-Shakib_etal_2022_preprint
Hosseini-Shakib_etal_2022_preprintPublic
                
Performing a Sobol global sensitivity analysis on a flood risk model in Selinsgrove, PA

                R
1

              3. 
Runoff-Coefficients-of-High-flow-Events-in-Undisturbed-New-England-Basins
Runoff-Coefficients-of-High-flow-Events-in-Undisturbed-New-England-BasinsPublic
                
Script performs the analysis required for the paper: "Runoff Coefficients of High-flow Events in Undisturbed New England Basins" by Hosseini-Shakib et al.(2020)

                R
1

              4. 
Why_Bayesian_priors_are_important
Why_Bayesian_priors_are_importantPublic
                
This is a toy problem to show why our choices of Bayesian prior distributions and sample size are important in our knowledge of model response surface

                R
              5. 
Risk_Interactions_Drought
Risk_Interactions_DroughtPublic
                
Script creates conceptual graphs to show interactions among drought hazard, exposure, and risk. All the values in this plot such as drought levels, adaptation coefficient, exponential function and …

                R
1

              
, '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('^' + ".*" + '

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Content in all repositories owned by your account will be closed.

                
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

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Popular repositories
Loading
                1. 
Risk_Interactions_Flood
Risk_Interactions_FloodPublic
                  
Coding hypothetical graphs to show how accounting for climate change and uncertainty in flood hazard and levee effect in flood exposure would impact flood risk pdfs and expected values.

                  R
3

3

                2. 
Hosseini-Shakib_etal_2022_preprint
Hosseini-Shakib_etal_2022_preprintPublic
                  
Performing a Sobol global sensitivity analysis on a flood risk model in Selinsgrove, PA

                  R
1

                3. 
Runoff-Coefficients-of-High-flow-Events-in-Undisturbed-New-England-Basins
Runoff-Coefficients-of-High-flow-Events-in-Undisturbed-New-England-BasinsPublic
                  
Script performs the analysis required for the paper: "Runoff Coefficients of High-flow Events in Undisturbed New England Basins" by Hosseini-Shakib et al.(2020)

                  R
1

                4. 
Why_Bayesian_priors_are_important
Why_Bayesian_priors_are_importantPublic
                  
This is a toy problem to show why our choices of Bayesian prior distributions and sample size are important in our knowledge of model response surface

                  R
                5. 
Risk_Interactions_Drought
Risk_Interactions_DroughtPublic
                  
Script creates conceptual graphs to show interactions among drought hazard, exposure, and risk. All the values in this plot such as drought levels, adaptation coefficient, exponential function and …

                  R
1

                
, '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); }
})();
})();

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Block or report imshakib

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Content in all repositories owned by your account will be closed.

                  
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

                  Report abuse
                  
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Learn more about reporting abuse.

                  Report abuse
                  
Popular repositories
Loading
                  1. 
Risk_Interactions_Flood
Risk_Interactions_FloodPublic
                    
Coding hypothetical graphs to show how accounting for climate change and uncertainty in flood hazard and levee effect in flood exposure would impact flood risk pdfs and expected values.

                    R
3

3

                  2. 
Hosseini-Shakib_etal_2022_preprint
Hosseini-Shakib_etal_2022_preprintPublic
                    
Performing a Sobol global sensitivity analysis on a flood risk model in Selinsgrove, PA

                    R
1

                  3. 
Runoff-Coefficients-of-High-flow-Events-in-Undisturbed-New-England-Basins
Runoff-Coefficients-of-High-flow-Events-in-Undisturbed-New-England-BasinsPublic
                    
Script performs the analysis required for the paper: "Runoff Coefficients of High-flow Events in Undisturbed New England Basins" by Hosseini-Shakib et al.(2020)

                    R
1

                  4. 
Why_Bayesian_priors_are_important
Why_Bayesian_priors_are_importantPublic
                    
This is a toy problem to show why our choices of Bayesian prior distributions and sample size are important in our knowledge of model response surface

                    R
                  5. 
Risk_Interactions_Drought
Risk_Interactions_DroughtPublic
                    
Script creates conceptual graphs to show interactions among drought hazard, exposure, and risk. All the values in this plot such as drought levels, adaptation coefficient, exponential function and …

                    R
1