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Landscape Metrics (LSMetrics)

This repository hosts the development and distribution of LSMetrics, a software package designed to calculate ecologically based landscape metrics, generate landscape connectivity maps, and prepare input for BioDIM, an individual-based model of animal movement in fragmented landscapes.

LSMetrics now runs perfectly in GRASS GIS 7.8, fully supporting raster input and producing accurate, reproducible metrics. All four diversity indices—Shannon, Simpson, Pielou, and Rényi—are fully implemented and working. The software has undergone a complete revision on 2025-09-18 to ensure stability and usability.

Here's how to get started with LSMetrics in four steps:

Tutorial: take a look at the LSMetrics Wiki!

If you have questions, encounter errors, or want to give feedback, contact us via email or open an issue on GitHub:

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A tool for calculating landscape connectivity and other ecologically scaled landscape metrics

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edgesgrass-gislandscape-connectivitylandscape-ecologylandscape-metrics

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GPL-2.0 license
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, '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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Landscape Metrics (LSMetrics)
This repository hosts the development and distribution of LSMetrics, a software package designed to calculate ecologically based landscape metrics, generate landscape connectivity maps, and prepare input for BioDIM, an individual-based model of animal movement in fragmented landscapes.
LSMetrics now runs perfectly in GRASS GIS 7.8, fully supporting raster input and producing accurate, reproducible metrics. All four diversity indices—Shannon, Simpson, Pielou, and Rényi—are fully implemented and working. The software has undergone a complete revision on 2025-09-18 to ensure stability and usability.
Here's how to get started with LSMetrics in four steps:
Tutorial: take a look at the LSMetrics Wiki!
If you have questions, encounter errors, or want to give feedback, contact us via email or open an issue on GitHub:
Star History Chart
About
A tool for calculating landscape connectivity and other ecologically scaled landscape metrics
Topics
edgesgrass-gislandscape-connectivitylandscape-ecologylandscape-metrics
Resources
Readme
GPL-2.0 license
Activity
Custom properties
Stars
26 stars
Watchers
7 watching
Forks
9 forks
Report repository
Releases
Packages
Contributors
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, '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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Landscape Metrics (LSMetrics)
This repository hosts the development and distribution of LSMetrics, a software package designed to calculate ecologically based landscape metrics, generate landscape connectivity maps, and prepare input for BioDIM, an individual-based model of animal movement in fragmented landscapes.
LSMetrics now runs perfectly in GRASS GIS 7.8, fully supporting raster input and producing accurate, reproducible metrics. All four diversity indices—Shannon, Simpson, Pielou, and Rényi—are fully implemented and working. The software has undergone a complete revision on 2025-09-18 to ensure stability and usability.
Here's how to get started with LSMetrics in four steps:
Tutorial: take a look at the LSMetrics Wiki!
If you have questions, encounter errors, or want to give feedback, contact us via email or open an issue on GitHub:
Star History Chart
About
A tool for calculating landscape connectivity and other ecologically scaled landscape metrics
Topics
edgesgrass-gislandscape-connectivitylandscape-ecologylandscape-metrics
Resources
Readme
GPL-2.0 license
Activity
Custom properties
Stars
26 stars
Watchers
7 watching
Forks
9 forks
Report repository
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, '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('^' + ".*" + '

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Landscape Metrics (LSMetrics)
This repository hosts the development and distribution of LSMetrics, a software package designed to calculate ecologically based landscape metrics, generate landscape connectivity maps, and prepare input for BioDIM, an individual-based model of animal movement in fragmented landscapes.
LSMetrics now runs perfectly in GRASS GIS 7.8, fully supporting raster input and producing accurate, reproducible metrics. All four diversity indices—Shannon, Simpson, Pielou, and Rényi—are fully implemented and working. The software has undergone a complete revision on 2025-09-18 to ensure stability and usability.
Here's how to get started with LSMetrics in four steps:
Tutorial: take a look at the LSMetrics Wiki!
If you have questions, encounter errors, or want to give feedback, contact us via email or open an issue on GitHub:
Star History Chart
About
A tool for calculating landscape connectivity and other ecologically scaled landscape metrics
Topics
edgesgrass-gislandscape-connectivitylandscape-ecologylandscape-metrics
Resources
Readme
GPL-2.0 license
Activity
Custom properties
Stars
26 stars
Watchers
7 watching
Forks
9 forks
Report repository
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" + '

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Landscape Metrics (LSMetrics)
This repository hosts the development and distribution of LSMetrics, a software package designed to calculate ecologically based landscape metrics, generate landscape connectivity maps, and prepare input for BioDIM, an individual-based model of animal movement in fragmented landscapes.
LSMetrics now runs perfectly in GRASS GIS 7.8, fully supporting raster input and producing accurate, reproducible metrics. All four diversity indices—Shannon, Simpson, Pielou, and Rényi—are fully implemented and working. The software has undergone a complete revision on 2025-09-18 to ensure stability and usability.
Here's how to get started with LSMetrics in four steps:
Tutorial: take a look at the LSMetrics Wiki!
If you have questions, encounter errors, or want to give feedback, contact us via email or open an issue on GitHub:
Star History Chart
About
A tool for calculating landscape connectivity and other ecologically scaled landscape metrics
Topics
edgesgrass-gislandscape-connectivitylandscape-ecologylandscape-metrics
Resources
Readme
GPL-2.0 license
Activity
Custom properties
Stars
26 stars
Watchers
7 watching
Forks
9 forks
Report repository
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('^' + ".*" + '

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Landscape Metrics (LSMetrics)
This repository hosts the development and distribution of LSMetrics, a software package designed to calculate ecologically based landscape metrics, generate landscape connectivity maps, and prepare input for BioDIM, an individual-based model of animal movement in fragmented landscapes.
LSMetrics now runs perfectly in GRASS GIS 7.8, fully supporting raster input and producing accurate, reproducible metrics. All four diversity indices—Shannon, Simpson, Pielou, and Rényi—are fully implemented and working. The software has undergone a complete revision on 2025-09-18 to ensure stability and usability.
Here's how to get started with LSMetrics in four steps:
Tutorial: take a look at the LSMetrics Wiki!
If you have questions, encounter errors, or want to give feedback, contact us via email or open an issue on GitHub:
Star History Chart
About
A tool for calculating landscape connectivity and other ecologically scaled landscape metrics
Topics
edgesgrass-gislandscape-connectivitylandscape-ecologylandscape-metrics
Resources
Readme
GPL-2.0 license
Activity
Custom properties
Stars
26 stars
Watchers
7 watching
Forks
9 forks
Report repository
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('^' + ".*" + '

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Landscape Metrics (LSMetrics)
This repository hosts the development and distribution of LSMetrics, a software package designed to calculate ecologically based landscape metrics, generate landscape connectivity maps, and prepare input for BioDIM, an individual-based model of animal movement in fragmented landscapes.
LSMetrics now runs perfectly in GRASS GIS 7.8, fully supporting raster input and producing accurate, reproducible metrics. All four diversity indices—Shannon, Simpson, Pielou, and Rényi—are fully implemented and working. The software has undergone a complete revision on 2025-09-18 to ensure stability and usability.
Here's how to get started with LSMetrics in four steps:
Tutorial: take a look at the LSMetrics Wiki!
If you have questions, encounter errors, or want to give feedback, contact us via email or open an issue on GitHub:
Star History Chart
About
A tool for calculating landscape connectivity and other ecologically scaled landscape metrics
Topics
edgesgrass-gislandscape-connectivitylandscape-ecologylandscape-metrics
Resources
Readme
GPL-2.0 license
Activity
Custom properties
Stars
26 stars
Watchers
7 watching
Forks
9 forks
Report repository
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); }
})();
})();

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Landscape Metrics (LSMetrics)
This repository hosts the development and distribution of LSMetrics, a software package designed to calculate ecologically based landscape metrics, generate landscape connectivity maps, and prepare input for BioDIM, an individual-based model of animal movement in fragmented landscapes.
LSMetrics now runs perfectly in GRASS GIS 7.8, fully supporting raster input and producing accurate, reproducible metrics. All four diversity indices—Shannon, Simpson, Pielou, and Rényi—are fully implemented and working. The software has undergone a complete revision on 2025-09-18 to ensure stability and usability.
Here's how to get started with LSMetrics in four steps:
Tutorial: take a look at the LSMetrics Wiki!
If you have questions, encounter errors, or want to give feedback, contact us via email or open an issue on GitHub:
Star History Chart
About
A tool for calculating landscape connectivity and other ecologically scaled landscape metrics
Topics
edgesgrass-gislandscape-connectivitylandscape-ecologylandscape-metrics
Resources
Readme
GPL-2.0 license
Activity
Custom properties
Stars
26 stars
Watchers
7 watching
Forks
9 forks
Report repository
Releases
Packages
Contributors
Languages