GPS Coordinates (Decimal Degrees — High Precision) Regex for Java
/^(-?(?:90(?:\.0{1,6})?|(?:[0-8][0-9]|[0-9])(?:\.[0-9]{1,8})?)),\s?(-?(?:180(?:\.0{1,6})?|(?:1[0-7][0-9]|[0-9]{1,2})(?:\.[0-9]{1,8})?))$/What this pattern does
This page provides a comprehensive, battle-tested regular expression for matching gps coordinates (decimal degrees — high precision), ported and verified for Java. Identity and credential patterns need both correctness and safety, since they're frequent targets for adversarial input. The snippet below is ready to drop into your Java project — whether you're validating in a Spring Boot controller, a Jakarta EE service, or a standalone utility class.
Java Implementation
// GPS Coordinates (Decimal Degrees — High Precision)
// ReDoS-safe | RegexVault — Identity & PII > Location PII
import java.util.regex.Pattern;
public class GpsCoordinatesDecimalDegreesHighPrecisionValidator {
private static final Pattern PATTERN =
Pattern.compile("^(-?(?:90(?:\\.0{1,6})?|(?:[0-8][0-9]|[0-9])(?:\\.[0-9]{1,8})?)),\\s?(-?(?:180(?:\\.0{1,6})?|(?:1[0-7][0-9]|[0-9]{1,2})(?:\\.[0-9]{1,8})?))$");
public static boolean validate(String input) {
return PATTERN.matcher(input).matches();
}
// Example
public static void main(String[] args) {
System.out.println(validate("1.3521,103.8198")); // true
}
}Test Cases
Matches (Valid) | Rejects (Invalid) |
|---|---|
1.3521,103.8198 | 91,0 |
51.5074,-0.1278 | -91,0 |
-33.8688,151.2093 | 0,181 |
0,0 | 0,-181 |
90.0,-180.0 | 1.3521,103.8198,50 |
When to use this pattern
This pattern is drawn from the Identity & PII > Location PII category and carries a ReDoS-safe certification. That matters for Java developers because critical in Java applications since the JVM regex engine uses backtracking and is susceptible to ReDoS without careful pattern design. RegexVault audits patterns against known backtracking attack vectors, ensuring you have the necessary context before using this regex in a high-stakes production environment.
Common Pitfalls
GPS coordinate precision matters for privacy. Truncating to 2 decimal places (≈1km) is a common anonymization technique. Movement history (multiple GPS coordinates over time) constitutes location profiling — stricter treatment required.
Technical Notes
High-precision GPS (>4 decimal places) can identify a specific building or room. 4 decimal places ≈ 11m accuracy. 6 decimal places ≈ 0.1m. GPS coordinates of a home address or frequent location are personal data under GDPR.
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