Riverscapes/riverscapes-tools
Sep 2024 – Dec 2025
16 Months active
Languages Used
PythonSQLCSVMarkdownRShellBashXML
Technical Skills
PythonPython programmingPython scriptingSQLcode refactoringdata analysis
Jordan Gilbert
PROFILE
Jordan Gilbert
Overall Statistics
Feature vs Bugs
65%Features
Repository Contributions
330Total
Bugs
54
Commits
330
Features
102
Lines of code
34,088
Activity Months16
Work History
December 2025
1 Commits • 1 Features
Dec 1, 20252025-12 — Riverscapes/riverscapes-tools: Delivered Codebase Modularity Enhancement by centralizing Shapely-related functions into a shared library (commons). This refactor reduces dependencies between components and improves maintainability and reusability of geometry utilities across tools. Commit d8db9812763e3354588e779a9364de541b21528b documents the migration from rme to commons. Overall impact includes faster onboarding, more reliable testing, and a stronger architecture for scalable feature development. No major bugs recorded for this month in the provided data. Technologies demonstrated: Python modular design, shared library architecture, refactoring, and Git-based version control.
1 Commits • 1 Features
Dec 1, 20252025-12 — Riverscapes/riverscapes-tools: Delivered Codebase Modularity Enhancement by centralizing Shapely-related functions into a shared library (commons). This refactor reduces dependencies between components and improves maintainability and reusability of geometry utilities across tools. Commit d8db9812763e3354588e779a9364de541b21528b documents the migration from rme to commons. Overall impact includes faster onboarding, more reliable testing, and a stronger architecture for scalable feature development. No major bugs recorded for this month in the provided data. Technologies demonstrated: Python modular design, shared library architecture, refactoring, and Git-based version control.
December 2025
November 2025
18 Commits • 3 Features
Nov 1, 2025November 2025: Riverscapes-tools delivered a focused set of improvements across documentation, data integrity, geospatial processing, riparian analytics, and maintenance automation. Key outcomes include clearer user guidance, stronger data quality and correctness, enhanced riparian and hydrology workflows with Python 3.12 compatibility, and streamlined automation that reduces manual maintenance and aligns with the new module structure. These changes improve user onboarding, reliability, and scalability of the toolchain, translating into faster feature adoption, fewer support issues, and more robust geospatial analyses for river ecosystems.
November 2025
18 Commits • 3 Features
Nov 1, 2025November 2025: Riverscapes-tools delivered a focused set of improvements across documentation, data integrity, geospatial processing, riparian analytics, and maintenance automation. Key outcomes include clearer user guidance, stronger data quality and correctness, enhanced riparian and hydrology workflows with Python 3.12 compatibility, and streamlined automation that reduces manual maintenance and aligns with the new module structure. These changes improve user onboarding, reliability, and scalability of the toolchain, translating into faster feature adoption, fewer support issues, and more robust geospatial analyses for river ecosystems.
October 2025
8 Commits • 2 Features
Oct 1, 2025October 2025 performance summary for Riverscapes-tools: Implemented critical hydrological data quality improvements for NM watersheds, including corrections to units and values, and expanded parameter mappings for Watersheds and WatershedHydroParams. Completed MaxDrainage data population and updates for NM watersheds, plus QC and tuning of NM BRAT and Pecos-region hydro params. These changes enhance data accuracy, modeling reliability, and decision support for water resources planning in New Mexico. Demonstrated rigorous data governance, parameter management, and Git-based collaboration.
8 Commits • 2 Features
Oct 1, 2025October 2025 performance summary for Riverscapes-tools: Implemented critical hydrological data quality improvements for NM watersheds, including corrections to units and values, and expanded parameter mappings for Watersheds and WatershedHydroParams. Completed MaxDrainage data population and updates for NM watersheds, plus QC and tuning of NM BRAT and Pecos-region hydro params. These changes enhance data accuracy, modeling reliability, and decision support for water resources planning in New Mexico. Demonstrated rigorous data governance, parameter management, and Git-based collaboration.
October 2025
September 2025
12 Commits • 3 Features
Sep 1, 2025In Sep 2025, Riverscapes-tools delivered key features and stability improvements across geospatial workflows, with a focus on data quality and pipeline reliability. Highlights include reach sampling refinements, BRAT data improvements for the Huron River, and Watersheds data quality updates, along with several robustness fixes that prevent failures in large-scale processing.
September 2025
12 Commits • 3 Features
Sep 1, 2025In Sep 2025, Riverscapes-tools delivered key features and stability improvements across geospatial workflows, with a focus on data quality and pipeline reliability. Highlights include reach sampling refinements, BRAT data improvements for the Huron River, and Watersheds data quality updates, along with several robustness fixes that prevent failures in large-scale processing.
August 2025
21 Commits • 6 Features
Aug 1, 2025August 2025 performance summary for Riverscapes-tools: Delivered targeted bug fixes and feature updates to improve processing reliability, data integrity, and release readiness. Key work spanned centerlines cleaning improvements, robust IGO/DGO handling, VBET raster updates, and comprehensive documentation and versioning changes. The work enhances end-to-end geospatial workflows, reduces error-prone steps, and accelerates downstream analyses for customers.
21 Commits • 6 Features
Aug 1, 2025August 2025 performance summary for Riverscapes-tools: Delivered targeted bug fixes and feature updates to improve processing reliability, data integrity, and release readiness. Key work spanned centerlines cleaning improvements, robust IGO/DGO handling, VBET raster updates, and comprehensive documentation and versioning changes. The work enhances end-to-end geospatial workflows, reduces error-prone steps, and accelerates downstream analyses for customers.
August 2025
July 2025
28 Commits • 8 Features
Jul 1, 2025July 2025 monthly performance summary for Riverscapes/riverscapes-tools: Key features delivered - RCAT metrics introduced/updated and RM metrics exposed via JSON, expanding quantitative visibility across models. - Segmentation validation for projected lines implemented and tested (issue #1160). - NWI GPkg integration added to the project XML to improve data completeness and downstream processing. - Methow hydro configuration updated with revised parameters and thresholds to improve reliability under varying conditions. - Updated metrics files for each project to reflect latest data structures and calculations; BRAT/RME metrics enhancements delivering richer metrics sets and versioned updates. Major bugs fixed - VBET metrics calculation and data handling fixes, including window length handling and correct metrics copying. - Endpoints with fewer than 2 in processing now handled gracefully. - Hydro metrics fixes and Methow hydro updates applied to stabilize hydrology-related processing. - BRAT metrics calculation and propagation fixed across workflows. - Missing NWI data handling improved; NWI geometry error handling tightened (large rivers, multipart lines, and logic gaps). - NWI lines cleanup: stray commented lines removed; IGO generation cleanup completed (issue #1167). Overall impact and accomplishments - Substantial improvement in data quality, metric reliability, and end-to-end processing resilience across the Riverscapes tools stack. - Broader metric coverage (RCAT, BRAT, RM) and richer data exposure enable more accurate analytics, reporting, and stakeholder decision-making. - Increased robustness in data ingestion (NWI, GPkg), hydrological configurations (Methow), and segmentation validation, reducing manual intervention and speed-to-insight. Technologies and skills demonstrated - Metrics pipeline engineering, data propagation and validation, and robust error handling. - Configuration management and parameterization (Methow, BRAT/RME metrics, NWI integration). - Environment-aware enhancements (dotenv-based argument parsing in NMRipmap) and JSON-based metric exposure for downstream consumers.
July 2025
28 Commits • 8 Features
Jul 1, 2025July 2025 monthly performance summary for Riverscapes/riverscapes-tools: Key features delivered - RCAT metrics introduced/updated and RM metrics exposed via JSON, expanding quantitative visibility across models. - Segmentation validation for projected lines implemented and tested (issue #1160). - NWI GPkg integration added to the project XML to improve data completeness and downstream processing. - Methow hydro configuration updated with revised parameters and thresholds to improve reliability under varying conditions. - Updated metrics files for each project to reflect latest data structures and calculations; BRAT/RME metrics enhancements delivering richer metrics sets and versioned updates. Major bugs fixed - VBET metrics calculation and data handling fixes, including window length handling and correct metrics copying. - Endpoints with fewer than 2 in processing now handled gracefully. - Hydro metrics fixes and Methow hydro updates applied to stabilize hydrology-related processing. - BRAT metrics calculation and propagation fixed across workflows. - Missing NWI data handling improved; NWI geometry error handling tightened (large rivers, multipart lines, and logic gaps). - NWI lines cleanup: stray commented lines removed; IGO generation cleanup completed (issue #1167). Overall impact and accomplishments - Substantial improvement in data quality, metric reliability, and end-to-end processing resilience across the Riverscapes tools stack. - Broader metric coverage (RCAT, BRAT, RM) and richer data exposure enable more accurate analytics, reporting, and stakeholder decision-making. - Increased robustness in data ingestion (NWI, GPkg), hydrological configurations (Methow), and segmentation validation, reducing manual intervention and speed-to-insight. Technologies and skills demonstrated - Metrics pipeline engineering, data propagation and validation, and robust error handling. - Configuration management and parameterization (Methow, BRAT/RME metrics, NWI integration). - Environment-aware enhancements (dotenv-based argument parsing in NMRipmap) and JSON-based metric exposure for downstream consumers.
June 2025
57 Commits • 18 Features
Jun 1, 2025June 2025 was a milestone month for Riverscapes-tools, delivering feature-rich updates and critical fixes that improve data fidelity, performance, and release readiness. Notable outcomes include CA Suitabilities and QRIS naming alignment, path data updates with per-reach attribute propagation and robust path calculation fixes, DGO/RSContext enhancements that improve stability on large river networks, expanded data support with elevation/geology and levelpath filtering alongside RME/vbet updates and metrics validation, and enhanced sampling workflows plus metadata improvements (NWI/NID descriptions, layer descriptions) to support downstream analyses. These changes reduce downstream errors, accelerate processing at scale, and provide clearer data lineage for decision-makers and customers.
57 Commits • 18 Features
Jun 1, 2025June 2025 was a milestone month for Riverscapes-tools, delivering feature-rich updates and critical fixes that improve data fidelity, performance, and release readiness. Notable outcomes include CA Suitabilities and QRIS naming alignment, path data updates with per-reach attribute propagation and robust path calculation fixes, DGO/RSContext enhancements that improve stability on large river networks, expanded data support with elevation/geology and levelpath filtering alongside RME/vbet updates and metrics validation, and enhanced sampling workflows plus metadata improvements (NWI/NID descriptions, layer descriptions) to support downstream analyses. These changes reduce downstream errors, accelerate processing at scale, and provide clearer data lineage for decision-makers and customers.
June 2025
May 2025
26 Commits • 9 Features
May 1, 2025May 2025 performance summary for Riverscapes/riverscapes-tools. Delivered core features to advance grazing analytics and river segmentation, strengthened data handling, and established automation/testing foundations. Key highlights include the grazing likelihood model development and Riverscapes grazing integration; segmentation by aspect ratio with main-channel dam-type logic; and metrics work with area-weighted calculations aligned to automation. Additional progress includes calibration/suitability refinements, data schema and CRS improvements, and the foundation of FIS/testing and automation infrastructure. A broad set of reliability fixes and small enhancements improved data integrity, code quality, and deployment readiness, enabling faster iteration and more trustworthy decision support for land/water management.
May 2025
26 Commits • 9 Features
May 1, 2025May 2025 performance summary for Riverscapes/riverscapes-tools. Delivered core features to advance grazing analytics and river segmentation, strengthened data handling, and established automation/testing foundations. Key highlights include the grazing likelihood model development and Riverscapes grazing integration; segmentation by aspect ratio with main-channel dam-type logic; and metrics work with area-weighted calculations aligned to automation. Additional progress includes calibration/suitability refinements, data schema and CRS improvements, and the foundation of FIS/testing and automation infrastructure. A broad set of reliability fixes and small enhancements improved data integrity, code quality, and deployment readiness, enabling faster iteration and more trustworthy decision support for land/water management.
April 2025
19 Commits • 5 Features
Apr 1, 2025April 2025 performance highlights for Riverscapes-tools: delivered key features, hardened data pipelines, and expanded dataset coverage with strong business value. Highlights include Taudem integration work, enhanced realized capacity analytics with HUC10 support, robust geometry handling and performance improvements, and expanded data processing for NMRipMap and Huron watersheds. The work improves discovery, analytics, and execution speed for regional river system analyses.
19 Commits • 5 Features
Apr 1, 2025April 2025 performance highlights for Riverscapes-tools: delivered key features, hardened data pipelines, and expanded dataset coverage with strong business value. Highlights include Taudem integration work, enhanced realized capacity analytics with HUC10 support, robust geometry handling and performance improvements, and expanded data processing for NMRipMap and Huron watersheds. The work improves discovery, analytics, and execution speed for regional river system analyses.
April 2025
March 2025
34 Commits • 10 Features
Mar 1, 2025March 2025 Riverscapes-tools monthly summary: Expanded metrics coverage and data models, improved performance, robust moving window analytics, and a strengthened data pipeline. Delivered DGO Metrics Suite Enhancements, Vegetation and Geomorph Metrics, and a Schema/Datasets upgrade, along with core utility refactors and testing improvements. Fixed critical moving window issues, null-stream handling, and several DGO metric bugs. These changes broaden analytics capabilities, improve data quality, and enable scalable downstream insights for river and landscape analysis.
March 2025
34 Commits • 10 Features
Mar 1, 2025March 2025 Riverscapes-tools monthly summary: Expanded metrics coverage and data models, improved performance, robust moving window analytics, and a strengthened data pipeline. Delivered DGO Metrics Suite Enhancements, Vegetation and Geomorph Metrics, and a Schema/Datasets upgrade, along with core utility refactors and testing improvements. Fixed critical moving window issues, null-stream handling, and several DGO metric bugs. These changes broaden analytics capabilities, improve data quality, and enable scalable downstream insights for river and landscape analysis.
February 2025
19 Commits • 3 Features
Feb 1, 2025February 2025 monthly summary for Riverscapes-tools (Riverscapes/riverscapes-tools): Delivered end-to-end Beaver Activity data integration and processing, expanded hydrological metric capabilities, and reinforced reliability through validated BRAT workflows. These efforts yielded robust data pipelines, enhanced visibility of stream and watershed metrics, and stronger data governance for census-related metadata, enabling faster, higher-quality analytics with fewer manual interventions. Key initiatives: - Beaver Activity Data Integration and Processing: introduced beaver_activity project type, end-to-end processing workflow, CLI entry point, and cross-source data merging/validation between BRAT and Beaver Activity sources; added project bounds for data retrieval; implemented census date metadata aggregation; incremental debugging and script improvements to increase reliability. - Stream and Watershed Metrics Integration: added Stream Name metric, integrated into metrics engine and text metric views, and introduced Watershed metrics with consistent field ordering across metrics CSV and SQL views. - Capacity Validation and BRAT Workflow Enhancements: launched a new capacity validation script, improved logging and error handling, refined directory structure, and implemented main/argument parsing for the validation workflow. Impact and outcomes: - Improved data availability and reliability for Beaver Activity and hydrological metrics, reducing manual debugging and enabling faster downstream analytics. - Stronger data governance with census-date metadata, project-bound controlled data retrieval, and consistent metric representations across formats. - Enhanced team velocity through CLI-driven workflows, better logging, and more maintainable code structure. Technologies and skills demonstrated: - Python-based ETL and CLI tooling, shell scripting, data validation and logging, Git-based workflow discipline, BRAT integration, GIS data handling, and metric engine enhancements.
19 Commits • 3 Features
Feb 1, 2025February 2025 monthly summary for Riverscapes-tools (Riverscapes/riverscapes-tools): Delivered end-to-end Beaver Activity data integration and processing, expanded hydrological metric capabilities, and reinforced reliability through validated BRAT workflows. These efforts yielded robust data pipelines, enhanced visibility of stream and watershed metrics, and stronger data governance for census-related metadata, enabling faster, higher-quality analytics with fewer manual interventions. Key initiatives: - Beaver Activity Data Integration and Processing: introduced beaver_activity project type, end-to-end processing workflow, CLI entry point, and cross-source data merging/validation between BRAT and Beaver Activity sources; added project bounds for data retrieval; implemented census date metadata aggregation; incremental debugging and script improvements to increase reliability. - Stream and Watershed Metrics Integration: added Stream Name metric, integrated into metrics engine and text metric views, and introduced Watershed metrics with consistent field ordering across metrics CSV and SQL views. - Capacity Validation and BRAT Workflow Enhancements: launched a new capacity validation script, improved logging and error handling, refined directory structure, and implemented main/argument parsing for the validation workflow. Impact and outcomes: - Improved data availability and reliability for Beaver Activity and hydrological metrics, reducing manual debugging and enabling faster downstream analytics. - Stronger data governance with census-date metadata, project-bound controlled data retrieval, and consistent metric representations across formats. - Enhanced team velocity through CLI-driven workflows, better logging, and more maintainable code structure. Technologies and skills demonstrated: - Python-based ETL and CLI tooling, shell scripting, data validation and logging, Git-based workflow discipline, BRAT integration, GIS data handling, and metric engine enhancements.
February 2025
January 2025
44 Commits • 17 Features
Jan 1, 2025Month: 2025-01 – Riverscapes-tools monthly summary focusing on delivering reliability, expanded data coverage, and release readiness. The following areas were emphasized: 1) Key features delivered, 2) Major bugs fixed, 3) Overall impact and accomplishments, 4) Technologies/skills demonstrated. Business value includes more accurate risk assessment, enhanced QA coverage, expanded data support (HUC calibrations, HUC17, Great Plains, QRIS bounds), and automated data workflows that accelerate releases and reduce manual toil.
January 2025
44 Commits • 17 Features
Jan 1, 2025Month: 2025-01 – Riverscapes-tools monthly summary focusing on delivering reliability, expanded data coverage, and release readiness. The following areas were emphasized: 1) Key features delivered, 2) Major bugs fixed, 3) Overall impact and accomplishments, 4) Technologies/skills demonstrated. Business value includes more accurate risk assessment, enhanced QA coverage, expanded data support (HUC calibrations, HUC17, Great Plains, QRIS bounds), and automated data workflows that accelerate releases and reduce manual toil.
December 2024
11 Commits • 5 Features
Dec 1, 2024Concise monthly summary for 2024-12 focusing on Riverscapes/riverscapes-tools, highlighting key features delivered, major bugs fixed, impact, and demonstrated skills. Emphasizes business value and technical deliverables.
11 Commits • 5 Features
Dec 1, 2024Concise monthly summary for 2024-12 focusing on Riverscapes/riverscapes-tools, highlighting key features delivered, major bugs fixed, impact, and demonstrated skills. Emphasizes business value and technical deliverables.
December 2024
November 2024
11 Commits • 3 Features
Nov 1, 2024November 2024 monthly summary for Riverscapes/riverscapes-tools. Focused on delivering risk-based conservation opportunities, enhancing BRAT tool capabilities, and documenting VBET for broader adoption. Key data-source and calculation logic updates, improved reporting and data definitions, and thorough documentation to clarify tool outputs. Addressed critical fixes to stabilize workflows and packaging for easier deployment.
November 2024
11 Commits • 3 Features
Nov 1, 2024November 2024 monthly summary for Riverscapes/riverscapes-tools. Focused on delivering risk-based conservation opportunities, enhancing BRAT tool capabilities, and documenting VBET for broader adoption. Key data-source and calculation logic updates, improved reporting and data definitions, and thorough documentation to clarify tool outputs. Addressed critical fixes to stabilize workflows and packaging for easier deployment.
October 2024
3 Commits • 3 Features
Oct 1, 2024Concise monthly summary for 2024-10 focusing on features delivered, bugs fixed, and business value. This month, Riverscapes-tools delivered three core initiatives that improve data integrity, reliability, and conservation decision support, while aligning with cross-package standards and modeling improvements.
3 Commits • 3 Features
Oct 1, 2024Concise monthly summary for 2024-10 focusing on features delivered, bugs fixed, and business value. This month, Riverscapes-tools delivered three core initiatives that improve data integrity, reliability, and conservation decision support, while aligning with cross-package standards and modeling improvements.
October 2024
September 2024
18 Commits • 6 Features
Sep 1, 2024September 2024 delivered substantive business value through feature-rich analytics for dam infrastructure, more reliable riverscape processing, and streamlined planning workflows. Key features include cross-object dam density analytics, enhanced moving-window analysis, and new project extents generation, plus a new percent-capacity visualization and extended data attributes for river-system analysis. These capabilities improved beaver-activity insights, planning accuracy, and operational reliability. The work was underpinned by robust data handling, safer database view creation, and targeted refactoring to reduce debt and maintenance burden.
September 2024
18 Commits • 6 Features
Sep 1, 2024September 2024 delivered substantive business value through feature-rich analytics for dam infrastructure, more reliable riverscape processing, and streamlined planning workflows. Key features include cross-object dam density analytics, enhanced moving-window analysis, and new project extents generation, plus a new percent-capacity visualization and extended data attributes for river-system analysis. These capabilities improved beaver-activity insights, planning accuracy, and operational reliability. The work was underpinned by robust data handling, safer database view creation, and targeted refactoring to reduce debt and maintenance burden.
Activity
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Quality Metrics
Correctness84.8%
Maintainability85.0%
Architecture79.6%
Performance74.8%
AI Usage21.0%
Skills & Technologies
Programming Languages
BashCSVINIMDXMarkdownPythonRSQLShellXML
Technical Skills
API IntegrationAutomationBackend DevelopmentBashBug FixBug FixingCloud ComputingCloud DeploymentCode CleanupCode ReadabilityCode RefactoringCode StandardizationCommand Line InterfaceCommand Line Interface (CLI)Configuration
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline