liveBook · Manning

Geospatial

Geospatial refers to data or computation representing geographic locations, geometries, attributes, or spatial relationships on or near Earth’s surface.

How 2 Manning books explain it

Just Use Postgres!

Geospatial refers to data or computation representing locations, geometries, and relationships on or near the Earth's surface.

How it is used
Deploys location-aware storage, querying, processing, visualization, and search optimization for geographic workloads.
How deep it goes
Defines points, lines, polygons, and changing geodata, then demonstrates spatial functions; routing is deferred to pgRouting.
Examples
Uses Florida OpenStreetMaps data, Miami boundaries, roads, amusement-park areas, and map layers of buildings, parks, and landmarks.
What you can do after
Apply it via PostGIS to store geodata, query spatial relationships, measure road geometries, and optimize searches with spatial indexes.

Read how Just Use Postgres! explains geospatial →

D3.js in Action, Third Edition

Geographic data represents locations and geographic features as coordinates, points, lines, polygons, or other spatial shapes.

How it is used
Supports interactive maps and visual analysis of locations, features, and spatial relationships.
How deep it goes
Explains formats, projections, rendering steps, and interactions, but does not detail projection mathematics or TopoJSON decoding internals.
Examples
Uses country polygons, city points, road lines, Nobel laureate birthplaces, and world and France maps.
What you can do after
Build it from scratch by loading geospatial data, projecting coordinates, drawing map paths, and adding map interactions with D3.

Read how D3.js in Action, Third Edition explains geospatial →

Related concepts

These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.