Google's algorithm uses a combination of satellite imagery, street view data, and user contributions to create its map coverage. In areas with sparse street networks or limited satellite coverage, certain features may be obscured or blurred to protect user privacy, reduce clutter, or focus on more important information.
For example, in densely populated urban areas or near sensitive facilities like military bases, Google may deliberately blur houses to prevent unwanted attention or data collection. Similarly, in remote or hard-to-reach areas, satellite imagery might not be available or up-to-date, leading to blurred or missing house icons. However, as more users contribute their knowledge and update the map, these areas can become better represented.
Another factor at play is Google's ongoing effort to balance data accuracy with user experience. In some cases, blurring houses may help prevent misdirection or misinformation, especially in areas with complex infrastructure or ambiguous property boundaries. Ultimately, the blurred house phenomenon is a result of Google's delicate balancing act between providing useful map information and respecting users' expectations for precision.
By acknowledging these complexities, users can develop a deeper understanding of how Google Maps works and what limitations it imposes. This knowledge also empowers users to contribute their own data and insights, helping to fill in the gaps and create more accurate maps for everyone's benefit.