@article {PIE376,
	title = {Creating spatially-explicit lawn maps without classifying remotely sensed imagery: The case of suburban Boston, Massachusetts, USA},
	journal = {Cities and the Environment},
	volume = {7},
	number = {1},
	year = {2014},
	note = {PI Plum Data},
	keywords = {Boston, disturbance, land-change science, lawns, LTER-PIE, Monte Carlo simulation, quantity and allocation disagreement, suburbanization},
	author = {Giner, N.M. and Polsky, C. and Pontius, R.G., Jr. and Runfola, D.M. and Ratick S.J.}
}
