The KPNO International Spectroscopic Survey (KISS) is a new objective-prism survey for extragalactic emission-line objects. It combines many of the features of previous slitless spectroscopic surveys that were carried out with Schmidt telescopes using photographic plates with the advantages of modern CCD detectors. It is the first purely digital objective-prism survey, and extends previous photographic surveys to substantially fainter flux limits. In this, the first paper in the series, we give an overview of the survey technique, describe our data processing procedures, and present examples of the types of objects found by KISS. Our first Hα-selected survey list detects objects at the rate of 18.1 per square degree, which is 181 times higher than the surface density of the Markarian survey. Since the sample is line-selected, there is an imposed redshift limit of z < ∼ 0.095 due to the filter employed for the objective-prism observations. We evaluate the quality of the observed parameters derived from the survey data, which include accurate astrometry, photometry, redshifts, and line fluxes. Finally, we describe some of the many applications the KISS database will have for addressing specific questions in extragalactic astronomy. Subsequent papers in this series will present our survey lists of emission-line galaxy candidates.

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The KPNO International Spectroscopic Survey (KISS) is an objective-prism survey for extragalactic emission-line objects. It combines many of the features of previous slitless spectroscopic surveys with the advantages of modern CCD detectors, and is the first purely digital objective-prism survey for emissionline galaxies. Here we present the first list of emission-line galaxy candidates selected from our blue spectral data, which cover the wavelength range 4800 -5500Å. In most cases, the detected emission line is [O III]λ5007. The current survey list covers a one-degree-wide strip located at δ = 29 • 30 ′ (B1950.0) and spanning the right ascension range 8 h 30 m to 17 h 0 m . An area of 116.6 deg 2 is covered. A total of 223 candidate emission-line objects have been selected for inclusion in the survey list (1.91 deg −2 ). We tabulate accurate coordinates and photometry for each source, as well as estimates of the redshift, emission-line flux, and equivalent width based on measurements of the digital objective-prism spectra. The median apparent magnitude of the sample is B = 18.2, and galaxies with redshifts approaching z = 0.1 are detected. The properties of the KISS emission-line galaxies are examined using the available observational data, and compared to previous surveys carried out with photographic plates as well as with the Hα-selected portion of KISS.

RESUMENEste trabajo parte del convencimiento de que un destino turístico inteligente debe estar conformado por un territorio y un sistema turístico correctamente gestionados, por tanto, cualquier destino turístico inteligente debe ser un "territorio inteligente" y, dicha necesidad da razón de ser a este artículo ya que, desde finales de los años noventa, madura un enfoque científico, la "inteligencia territorial", cuyo objetivo es constituir un conjunto de conocimientos pluridisciplinares que aseguren un uso sostenible del territorio en la vertiente ambiental, económica y social. En la revisión teórica elaborada se atenderá tanto al concepto como a los objetivos, herramientas o elementos que forman parte del término "inteligencia territorial", y a los vínculos que el mismo puede presentar con los nuevos "destinos turísticos inteligentes", tratando de identificar oportunidades y desafíos en la relación entre ambos conceptos.Palabras clave: Inteligencia territorial, destinos turísticos inteligentes, gobernanza, actores, tecnología, inteligencia turística 1 Este trabajo se ha desarrollado en el marco del Proyecto de Investigación "Nuevos enfoques para la planificación y gestión del territorio turístico: conceptualización, análisis de experiencias y problemas. Definición de modelos operativos para destinos turísticos inteligentes" (Proyecto CSO2014-59193-ABSTRACT This paper starts from the belief that a smart tourism destination should be composed by a well-managed territory and tourist system. Therefore, any smart tourism destination should be a "smart place". Since the late nineties, a scientific approach called "Territorial Intelligence" was developed, being its aims to establish a set of multidisciplinary knowledge to ensure sustainable territories using environmental, economic and social aspects. This paper analyzes both the concept and the objectives of "Territorial Intelligence", as well as tools and elements integrated in this approach and the links that it may have with the new "Smart Tourism Destination", trying to identify opportunities and challenges in the relationship between both concepts.