Gaya visual berbasis data untuk set data memungkinkan Anda mengupload set data geospasial Anda sendiri, menerapkan gaya visual kustom ke fitur datanya, dan menampilkan fitur data tersebut di peta. Dengan gaya visual berbasis data untuk set data, Anda dapat membuat visualisasi data berdasarkan geometri titik, polyline, dan poligon, serta membuat fitur data merespons peristiwa klik. Gaya visual berbasis data untuk set data hanya didukung pada peta vektor (diperlukan ID peta).
Tambahkan data kustom menggunakan Konsol Google Cloud atau Google Cloud Shell. Setiap set data memiliki ID unik, yang dapat Anda kaitkan dengan gaya peta. Format data berikut ini didukung:
Setelah data kustom diupload dan dikaitkan dengan gaya peta dan ID peta, Anda dapat menata gaya fitur data untuk tampilan visual, dan membuat fitur merespons peristiwa klik.
Tata gaya data titik untuk menampilkan lokasi tertentu pada peta.
Tata gaya data polyline untuk menyoroti fitur geografis.
Tata gaya data poligon untuk menyoroti area geografis.
Buat fitur data merespons peristiwa klik dengan menambahkan pemroses peristiwa.
[[["Mudah dipahami","easyToUnderstand","thumb-up"],["Memecahkan masalah saya","solvedMyProblem","thumb-up"],["Lainnya","otherUp","thumb-up"]],[["Informasi yang saya butuhkan tidak ada","missingTheInformationINeed","thumb-down"],["Terlalu rumit/langkahnya terlalu banyak","tooComplicatedTooManySteps","thumb-down"],["Sudah usang","outOfDate","thumb-down"],["Masalah terjemahan","translationIssue","thumb-down"],["Masalah kode / contoh","samplesCodeIssue","thumb-down"],["Lainnya","otherDown","thumb-down"]],["Terakhir diperbarui pada 2025-08-17 UTC."],[[["\u003cp\u003eData-driven styling allows you to upload custom geospatial datasets (GeoJSON, CSV, KML) and visualize them on vector maps using points, polylines, and polygons.\u003c/p\u003e\n"],["\u003cp\u003eDatasets are managed through Google Cloud Console or Google Cloud Shell and are associated with map styles and IDs for display.\u003c/p\u003e\n"],["\u003cp\u003eYou can customize the visual appearance of data features based on their properties and enable click event interactions.\u003c/p\u003e\n"],["\u003cp\u003eData-driven styling enables the creation of dynamic and interactive data visualizations for highlighting locations, geographical features, and areas on maps.\u003c/p\u003e\n"]]],[],null,["Select platform: [Android](/maps/documentation/android-sdk/dds-datasets/overview \"View this page for the Android platform docs.\") [iOS](/maps/documentation/ios-sdk/dds-datasets/overview \"View this page for the iOS platform docs.\") [JavaScript](/maps/documentation/javascript/dds-datasets/overview \"View this page for the JavaScript platform docs.\")\n\n\u003cbr /\u003e\n\nData-driven styling for datasets lets you upload your own geospatial datasets,\napply custom styling to their data features, and display those data features on\nmaps. With data-driven styling for datasets, you can create data visualizations\nbased on point, polyline, and polygon geometries, and make data features respond\nto click events. Data-driven styling for datasets is supported on vector maps\nonly (a map ID is required).\n\n[Get started with data-driven styling for datasets](/maps/documentation/javascript/dds-datasets/start)\n\nAdd custom geospatial datasets\n\nAdd your custom data using Google Cloud Console or Google Cloud\nShell. Each dataset has a unique ID, which you can associate with a map style.\nThe following data formats are supported:\n\n- GeoJSON\n- Comma-separated (CSV)\n- KML\n\nFor details about dataset requirements and limitations, see\n[Create and manage a dataset](/maps/documentation/javascript/dds-datasets/create-dataset#dataset-prerequisites)\n\nStyle data features\n\nOnce your custom data has been uploaded and associated to a map\nstyle and map ID, you can style data features for visual impact, and make\nfeatures respond to click events.\n\nStyle point data to show specific locations on the map.\n\nStyle polyline data to highlight geographical features.\n\nStyle polygon data to highlight geographical areas.\n\nMake data features respond to click events by adding an event\nlistener."]]
