We present self-adjusting data structures for answering point location queries in convex and connected subdivisions. Let $n$ be the number of vertices in a convex or connected subdivision. Our structures use $O(n)$ space. For any convex subdivision $S$, our method processes any online query sequence $sigma$ in $O(mathrm{OPT} + n)$ time, where $mathrm{OPT}$ is the minimum time required by any linear decision tree for answering point location queries in $S$ to process $sigma$. For connected subdivisions, the processing time is $O(mathrm{OPT} + n + |sigma|log(log^* n))$. In both cases, the time bound includes the $O(n)$ preprocessing time.
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