Spatial　keyword　queries　are　attractive　techniques　that　have　been　widely　deployed　in　real-life　applications　in　recent　years,　such　as　social　networks　and　location-based　services.　However,　existing　solutions　neither　support　dynamic　update　nor　satisfy　the　privacy　requirements　in　real　applications.　In　this　article,　we　investigate　the　problem　of　Dynamic　Searchable　Symmetric　Encryption　(DSSE)　for　spatial　keyword　queries.　First,　we　formulate　the　definition　of　DSSE　for　spatial　keyword　queries　(namely,　DSSESKQ)　and　extend　the　DSSE　leakage　functions　to　capture　the　leakages　in　DSSESKQ.　Then,　we　present　a　practical　DSSESKQ　construction　based　on　geometric　prefix　encoding　inverted-index　and　encrypted　bitmap.　Rigorous　security　analysis　proves　that　our　construction　can　achieve　not　only　forward/backward　privacy　but　content　privacy　as　well,　which　can　resist　the　most　existing　leakage-abuse　attacks.　Evaluation　results　using　real-world　datasets　demonstrate　the　efficiency　and　feasibility　of　our　construction.　Comparative　analysis　reveals　that　our　construction　outperforms　state-of-the-art　schemes　in　terms　of　privacy　and　performance,　e.g.,　our　construction　is　175x　faster　than　existing　schemes　with　only　51%　server　storage　cost.