Matt Forrest channel features a geospatial focus, delivering content that appears to blend tutorials, tool comparisons, and conceptual discussions about modern GIS workflows. Video titles suggest practical how-tos, tooling critiques, and strategic shifts in GIS practice, with an emphasis on open tools, data processing, and reducing reliance on traditional desktop GIS. The channel publishes irregularly with an average of about 3.3K views per video and an overall cadence around 0.6 uploads per week.
Similar Channels
We found 43 YouTube channels similar to Matt Forrest
GIS tools comparisongeospatial data enginesGIS scripting languages
Both target geospatial professionals with emphasis on GIS tools comparisons and geospatial data engines, reflected by an 86% match and queries like GIS tools comparison and geospatial data engines.
Shares audience in GIS and spatial analytics topics such as spatial analytics tools and spatial machine learning, indicated by a 70% match with queries on GIS scripting languages and spatial analytics tools.
GIS tools comparisonspatial analytics toolsGIS data visualization
Competes in GIS tools comparison and spatial analytics with a similar content focus on GIS data visualization, matching a 70% overlap and queries like GIS tools comparison.
Both cover spatial analytics and cloud GIS platforms, aligning on cloud-based geospatial topics and spatial databases, as shown by a 68% match and relevant queries.
spatial data processingvector tile formatsgeospatial ETL tools
Shares a focus on spatial data processing and geospatial ETL tools, evidenced by a 67% match and queries like vector tile formats and geospatial ETL tools.
Centers on geospatial ETL workflows and tools, corresponding to a 65% match and queries about geospatial ETL processes.
Content Landscape
Competitors identified include Spatial Zone (86% match) and ArcGIS (70% match) as top contenders. Both share overlapping queries with Matt Forrest such as GIS tools comparison, geospatial data engines, and GIS scripting languages. Esri Events (70% match) also aligns closely with topics like GIS scripting languages and spatial analytics tools, and is notably larger at 55.4K subscribers compared to Matt Forrest's 41.3K. Felt (68% match) overlaps on spatial analytics tools and cloud GIS platforms, while FOSS4G (67% match) connects through spatial data processing and geospatial ETL. Overall, the competitors range from moderately sized niche channels to much larger entities, with common ground in modern geospatial workflows, tooling comparisons, and data processing concepts.
GIS professionalsGIS tools comparisonmodern geospatial workflowspatial data processinggeospatial data enginesGIS scripting languagesopen source GIS alternativesgeospatial data formatsspatial analytics toolscloud GIS platformsdesktop GIS alternativesspatial databasesgeopandas tutorialsPostGIS vs DuckDBgeospatial ETL workflowsgeospatial Python tipsGIS data visualizationspatial machine learningraster analysis methodsvector tile formatsGIS data qualityspatial indexing techniques3D geospatial workflowsgeo dataframe tipsremote sensing basicsgeospatial SQL tricksscene database fundamentalsweb GIS basicsgeospatial ETL toolscartography best practicesspace time GIStemporal geospatial datageospatial data validationopen data geospatialspatial performance tuning
Frequently Asked Questions
Which YouTube channels are most similar to Matt Forrest?
Spatial Zone — 9.5K subscribers, 86% match; Esri Events — 55.4K subscribers, 70% match; ArcGIS — 85.3K subscribers, 70% match. All three channels are focused on GIS technology and geospatial topics, aligning with Matt Forrest's content focus on GIS and related tools.
What type of content does Matt Forrest make?
Matt Forrest creates GIS-focused content, with titles such as You’re Using AI in GIS Completely Wrong, Stop Using Files for GIS. Build This Instead, and Desktop GIS is Dying. Here’s What Replaced It. Uploads occur at ~0.6 per week, and average about 3.3K views per video.
How do we determine which channels are similar to Matt Forrest?
We analyze Matt Forrest's recent videos, generate topic-relevant search queries, check YouTube search results, and compare the meaning of each channel's content to measure similarity. The result is a ranked list sorted by SERP overlap, semantic similarity, and search appearances.
