Prioritizing hotspots for cultural resource conservation remains a critical challenge for conservation design and planning on a large-landscape scale. Here, we propose novel methodologies for integrating expert evaluations of cultural resource distribution, diversity, and priorities with an emerging digital geospatial dataset tracing the movement of people to and from sites of interest (SafeGraph). Methods for data processing and analysis are explained in detail and code is shared to promote iterative research combining big data with small-n data. Here, we demonstrate the scope and potential of these methodologies by evaluating the correspondence and dynamics between expert and crowdsourced datasets via hotspot analysis and temporal visitation patterns. These emergent crowdsourced metrics of valuation (e. g. number of visitors and time spent in particular cultural landscapes/sites) can be contextualized and evaluated in combination with expert assessments of resource prioritization to better understand landscape values across a city-wide spatial extent.